Ecoer Logo

@tanshu-blogs

25

blogger,writer(article){proffesional} ethical hacker script writer freelancer.

steemit.com/@tanshu-blogs
VOTING POWER100.00%
DOWNVOTE POWER100.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS0.00%
Net Worth
0.007USD
STEEM
0.000STEEM
SBD
0.000SBD
Effective Power
5.007SP
├── Own SP
0.125SP
└── Incoming Deleg
+4.883SP

Detailed Balance

STEEM
balance
0.000STEEM
market_balance
0.000STEEM
savings_balance
0.000STEEM
reward_steem_balance
0.000STEEM
STEEM POWER
Own SP
0.125SP
Delegated Out
0.000SP
Delegation In
4.883SP
Effective Power
5.007SP
Reward SP (pending)
0.000SP
SBD
sbd_balance
0.000SBD
sbd_conversions
0.000SBD
sbd_market_balance
0.000SBD
savings_sbd_balance
0.000SBD
reward_sbd_balance
0.000SBD
{
  "balance": "0.000 STEEM",
  "savings_balance": "0.000 STEEM",
  "reward_steem_balance": "0.000 STEEM",
  "vesting_shares": "202.497550 VESTS",
  "delegated_vesting_shares": "0.000000 VESTS",
  "received_vesting_shares": "7941.162256 VESTS",
  "sbd_balance": "0.000 SBD",
  "savings_sbd_balance": "0.000 SBD",
  "reward_sbd_balance": "0.000 SBD",
  "conversions": []
}

Account Info

nametanshu-blogs
id1115056
rank0
reputation188335591
created2018-08-17T06:12:15
recovery_accountsteem
proxyNone
post_count9
comment_count0
lifetime_vote_count0
witnesses_voted_for0
last_post2018-08-20T09:31:57
last_root_post2018-08-20T09:31:57
last_vote_time2018-08-20T09:32:24
proxied_vsf_votes0, 0, 0, 0
can_vote1
voting_power0
delayed_votes0
balance0.000 STEEM
savings_balance0.000 STEEM
sbd_balance0.000 SBD
savings_sbd_balance0.000 SBD
vesting_shares202.497550 VESTS
delegated_vesting_shares0.000000 VESTS
received_vesting_shares7941.162256 VESTS
reward_vesting_balance0.000000 VESTS
vesting_balance0.000 STEEM
vesting_withdraw_rate0.000000 VESTS
next_vesting_withdrawal1969-12-31T23:59:59
withdrawn0
to_withdraw0
withdraw_routes0
savings_withdraw_requests0
last_account_recovery1970-01-01T00:00:00
reset_accountnull
last_owner_update1970-01-01T00:00:00
last_account_update2018-08-19T11:41:39
minedNo
sbd_seconds0
sbd_last_interest_payment1970-01-01T00:00:00
savings_sbd_last_interest_payment1970-01-01T00:00:00
{
  "id": 1115056,
  "name": "tanshu-blogs",
  "owner": {
    "weight_threshold": 1,
    "account_auths": [],
    "key_auths": [
      [
        "STM7B1cCeYNwUb5zScapEVUwALuVFPt12U1czJkiRVECaJHWDB23p",
        1
      ]
    ]
  },
  "active": {
    "weight_threshold": 1,
    "account_auths": [],
    "key_auths": [
      [
        "STM6vAssMBNschLXnFMPLpfuZ8k9X1S3g1HPQaSBdJqU7uBn2YMxo",
        1
      ]
    ]
  },
  "posting": {
    "weight_threshold": 1,
    "account_auths": [],
    "key_auths": [
      [
        "STM6W43Riz6ays9yoprWnmCeZbwgXbetPQyyXi1BDzu1QcQukYAtW",
        1
      ]
    ]
  },
  "memo_key": "STM6Cf2d8YEWzeBUtWo2Mbnkz1j7uYpo2wpQRfjFC2GyJCetFvdWV",
  "json_metadata": "{\"profile\":{\"name\":\"tanshu\",\"about\":\"blogger,writer(article){proffesional} ethical hacker script writer freelancer.\",\"location\":\"India\",\"profile_image\":\"https://cdn.steemitimages.com/DQmawPebsPz66FD1QAvA4qwaRHtdYPxDYdSTfdTenJb3Cz9/HACKER-hack-hacking-internet-computer-anarchy-sadic-virus-dark-anonymous-code-binary.jpg\"}}",
  "posting_json_metadata": "{\"profile\":{\"name\":\"tanshu\",\"about\":\"blogger,writer(article){proffesional} ethical hacker script writer freelancer.\",\"location\":\"India\",\"profile_image\":\"https://cdn.steemitimages.com/DQmawPebsPz66FD1QAvA4qwaRHtdYPxDYdSTfdTenJb3Cz9/HACKER-hack-hacking-internet-computer-anarchy-sadic-virus-dark-anonymous-code-binary.jpg\"}}",
  "proxy": "",
  "last_owner_update": "1970-01-01T00:00:00",
  "last_account_update": "2018-08-19T11:41:39",
  "created": "2018-08-17T06:12:15",
  "mined": false,
  "recovery_account": "steem",
  "last_account_recovery": "1970-01-01T00:00:00",
  "reset_account": "null",
  "comment_count": 0,
  "lifetime_vote_count": 0,
  "post_count": 9,
  "can_vote": true,
  "voting_manabar": {
    "current_mana": "8143659806",
    "last_update_time": 1779088296
  },
  "downvote_manabar": {
    "current_mana": 2035914951,
    "last_update_time": 1779088296
  },
  "voting_power": 0,
  "balance": "0.000 STEEM",
  "savings_balance": "0.000 STEEM",
  "sbd_balance": "0.000 SBD",
  "sbd_seconds": "0",
  "sbd_seconds_last_update": "1970-01-01T00:00:00",
  "sbd_last_interest_payment": "1970-01-01T00:00:00",
  "savings_sbd_balance": "0.000 SBD",
  "savings_sbd_seconds": "0",
  "savings_sbd_seconds_last_update": "1970-01-01T00:00:00",
  "savings_sbd_last_interest_payment": "1970-01-01T00:00:00",
  "savings_withdraw_requests": 0,
  "reward_sbd_balance": "0.000 SBD",
  "reward_steem_balance": "0.000 STEEM",
  "reward_vesting_balance": "0.000000 VESTS",
  "reward_vesting_steem": "0.000 STEEM",
  "vesting_shares": "202.497550 VESTS",
  "delegated_vesting_shares": "0.000000 VESTS",
  "received_vesting_shares": "7941.162256 VESTS",
  "vesting_withdraw_rate": "0.000000 VESTS",
  "next_vesting_withdrawal": "1969-12-31T23:59:59",
  "withdrawn": 0,
  "to_withdraw": 0,
  "withdraw_routes": 0,
  "curation_rewards": 0,
  "posting_rewards": 0,
  "proxied_vsf_votes": [
    0,
    0,
    0,
    0
  ],
  "witnesses_voted_for": 0,
  "last_post": "2018-08-20T09:31:57",
  "last_root_post": "2018-08-20T09:31:57",
  "last_vote_time": "2018-08-20T09:32:24",
  "post_bandwidth": 0,
  "pending_claimed_accounts": 0,
  "vesting_balance": "0.000 STEEM",
  "reputation": 188335591,
  "transfer_history": [],
  "market_history": [],
  "post_history": [],
  "vote_history": [],
  "other_history": [],
  "witness_votes": [],
  "tags_usage": [],
  "guest_bloggers": []
}

Withdraw Routes

IncomingOutgoing
Empty
Empty
{
  "incoming": [],
  "outgoing": []
}
From Date
To Date
steemdelegated 4.883 SP to @tanshu-blogs
2026/05/18 07:11:36
delegatorsteem
delegateetanshu-blogs
vesting shares7941.162256 VESTS
Transaction InfoBlock #106151742/Trx 509e5ea65115d274384cb744851664891ae657a0
View Raw JSON Data
{
  "trx_id": "509e5ea65115d274384cb744851664891ae657a0",
  "block": 106151742,
  "trx_in_block": 8,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2026-05-18T07:11:36",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "7941.162256 VESTS"
    }
  ]
}
steemdelegated 3.215 SP to @tanshu-blogs
2026/05/13 08:02:36
delegatorsteem
delegateetanshu-blogs
vesting shares5228.951851 VESTS
Transaction InfoBlock #106009476/Trx 9b106092ebe6e2cfaf88cc5f1fbd0c13ec5578ea
View Raw JSON Data
{
  "trx_id": "9b106092ebe6e2cfaf88cc5f1fbd0c13ec5578ea",
  "block": 106009476,
  "trx_in_block": 0,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2026-05-13T08:02:36",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "5228.951851 VESTS"
    }
  ]
}
steemdelegated 4.890 SP to @tanshu-blogs
2026/04/26 06:22:12
delegatorsteem
delegateetanshu-blogs
vesting shares7953.678012 VESTS
Transaction InfoBlock #105519202/Trx bf9a5e00bc4ee1a3f0ada96a930ecde700fd24ea
View Raw JSON Data
{
  "trx_id": "bf9a5e00bc4ee1a3f0ada96a930ecde700fd24ea",
  "block": 105519202,
  "trx_in_block": 0,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2026-04-26T06:22:12",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "7953.678012 VESTS"
    }
  ]
}
steemdelegated 3.241 SP to @tanshu-blogs
2026/01/24 02:29:06
delegatorsteem
delegateetanshu-blogs
vesting shares5270.498670 VESTS
Transaction InfoBlock #102874189/Trx d9b451ccd45ac6ca5f0e04574cdf9180adaf9959
View Raw JSON Data
{
  "trx_id": "d9b451ccd45ac6ca5f0e04574cdf9180adaf9959",
  "block": 102874189,
  "trx_in_block": 5,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2026-01-24T02:29:06",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "5270.498670 VESTS"
    }
  ]
}
steemdelegated 3.342 SP to @tanshu-blogs
2024/12/17 21:38:15
delegatorsteem
delegateetanshu-blogs
vesting shares5434.717867 VESTS
Transaction InfoBlock #91320387/Trx c647fb30dca465bf0fef1e8a03cf1a638e153ad3
View Raw JSON Data
{
  "trx_id": "c647fb30dca465bf0fef1e8a03cf1a638e153ad3",
  "block": 91320387,
  "trx_in_block": 0,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2024-12-17T21:38:15",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "5434.717867 VESTS"
    }
  ]
}
steemdelegated 3.446 SP to @tanshu-blogs
2023/11/14 13:17:36
delegatorsteem
delegateetanshu-blogs
vesting shares5603.851399 VESTS
Transaction InfoBlock #79874495/Trx 324d28ef58543c8a0da2beb0f980f730d4e9146c
View Raw JSON Data
{
  "trx_id": "324d28ef58543c8a0da2beb0f980f730d4e9146c",
  "block": 79874495,
  "trx_in_block": 1,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2023-11-14T13:17:36",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "5603.851399 VESTS"
    }
  ]
}
steemdelegated 5.251 SP to @tanshu-blogs
2023/09/22 11:28:00
delegatorsteem
delegateetanshu-blogs
vesting shares8540.760185 VESTS
Transaction InfoBlock #78364150/Trx 4946af88a81c2f9c0f7235bf8728160b6532e57c
View Raw JSON Data
{
  "trx_id": "4946af88a81c2f9c0f7235bf8728160b6532e57c",
  "block": 78364150,
  "trx_in_block": 2,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2023-09-22T11:28:00",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "8540.760185 VESTS"
    }
  ]
}
steemdelegated 5.388 SP to @tanshu-blogs
2022/11/03 18:47:51
delegatorsteem
delegateetanshu-blogs
vesting shares8762.811623 VESTS
Transaction InfoBlock #69121733/Trx 20ac08f42642ea819063d7f498a15bdae3980d6f
View Raw JSON Data
{
  "trx_id": "20ac08f42642ea819063d7f498a15bdae3980d6f",
  "block": 69121733,
  "trx_in_block": 5,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2022-11-03T18:47:51",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "8762.811623 VESTS"
    }
  ]
}
steemdelegated 5.523 SP to @tanshu-blogs
2022/01/17 23:54:12
delegatorsteem
delegateetanshu-blogs
vesting shares8982.919224 VESTS
Transaction InfoBlock #60824875/Trx 829df746b1581097062cbf43f024c166e258723a
View Raw JSON Data
{
  "trx_id": "829df746b1581097062cbf43f024c166e258723a",
  "block": 60824875,
  "trx_in_block": 8,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2022-01-17T23:54:12",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "8982.919224 VESTS"
    }
  ]
}
steemdelegated 5.637 SP to @tanshu-blogs
2021/06/14 07:02:51
delegatorsteem
delegateetanshu-blogs
vesting shares9167.113512 VESTS
Transaction InfoBlock #54615148/Trx b33650c9a60ca316cbbd0cc6c630e85263ef719a
View Raw JSON Data
{
  "trx_id": "b33650c9a60ca316cbbd0cc6c630e85263ef719a",
  "block": 54615148,
  "trx_in_block": 2,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2021-06-14T07:02:51",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "9167.113512 VESTS"
    }
  ]
}
steemdelegated 5.752 SP to @tanshu-blogs
2020/12/11 17:14:21
delegatorsteem
delegateetanshu-blogs
vesting shares9354.535486 VESTS
Transaction InfoBlock #49362387/Trx d0cf0e36c25cefd332970f12c48dbec63999e47c
View Raw JSON Data
{
  "trx_id": "d0cf0e36c25cefd332970f12c48dbec63999e47c",
  "block": 49362387,
  "trx_in_block": 6,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2020-12-11T17:14:21",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "9354.535486 VESTS"
    }
  ]
}
steemdelegated 1.176 SP to @tanshu-blogs
2020/12/06 10:49:45
delegatorsteem
delegateetanshu-blogs
vesting shares1912.543513 VESTS
Transaction InfoBlock #49213898/Trx b3b0658834c52a6ccf214ad76cd7f32b25a7ad5d
View Raw JSON Data
{
  "trx_id": "b3b0658834c52a6ccf214ad76cd7f32b25a7ad5d",
  "block": 49213898,
  "trx_in_block": 75,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2020-12-06T10:49:45",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "1912.543513 VESTS"
    }
  ]
}
steemdelegated 5.756 SP to @tanshu-blogs
2020/12/05 20:52:15
delegatorsteem
delegateetanshu-blogs
vesting shares9360.743340 VESTS
Transaction InfoBlock #49197471/Trx b4ffced8760c6fd43fc977d0a69c6ebf0fbd986a
View Raw JSON Data
{
  "trx_id": "b4ffced8760c6fd43fc977d0a69c6ebf0fbd986a",
  "block": 49197471,
  "trx_in_block": 0,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2020-12-05T20:52:15",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "9360.743340 VESTS"
    }
  ]
}
steemdelegated 1.181 SP to @tanshu-blogs
2020/11/03 04:21:42
delegatorsteem
delegateetanshu-blogs
vesting shares1920.017158 VESTS
Transaction InfoBlock #48272779/Trx 016b389bcde384ce03cddc0e633f6c8267c798d4
View Raw JSON Data
{
  "trx_id": "016b389bcde384ce03cddc0e633f6c8267c798d4",
  "block": 48272779,
  "trx_in_block": 1,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2020-11-03T04:21:42",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "1920.017158 VESTS"
    }
  ]
}
steemdelegated 5.880 SP to @tanshu-blogs
2020/05/09 11:53:39
delegatorsteem
delegateetanshu-blogs
vesting shares9563.548699 VESTS
Transaction InfoBlock #43224242/Trx 03224e1e8071c242afc0f983e0c2b65afd7708ac
View Raw JSON Data
{
  "trx_id": "03224e1e8071c242afc0f983e0c2b65afd7708ac",
  "block": 43224242,
  "trx_in_block": 39,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2020-05-09T11:53:39",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "9563.548699 VESTS"
    }
  ]
}
steemdelegated 1.201 SP to @tanshu-blogs
2020/05/08 16:24:57
delegatorsteem
delegateetanshu-blogs
vesting shares1953.311140 VESTS
Transaction InfoBlock #43201424/Trx d023f8a8e8446630512fcce4466fb60a83f699ca
View Raw JSON Data
{
  "trx_id": "d023f8a8e8446630512fcce4466fb60a83f699ca",
  "block": 43201424,
  "trx_in_block": 64,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2020-05-08T16:24:57",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "1953.311140 VESTS"
    }
  ]
}
steemdelegated 5.946 SP to @tanshu-blogs
2019/11/01 09:44:48
delegatorsteem
delegateetanshu-blogs
vesting shares9669.947782 VESTS
Transaction InfoBlock #37790473/Trx ce7e059b93d4cfa040318737a6ae92d49378758e
View Raw JSON Data
{
  "trx_id": "ce7e059b93d4cfa040318737a6ae92d49378758e",
  "block": 37790473,
  "trx_in_block": 7,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2019-11-01T09:44:48",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "tanshu-blogs",
      "vesting_shares": "9669.947782 VESTS"
    }
  ]
}
2019/08/17 06:31:39
parent authortanshu-blogs
parent permlinkhelp-kerala-flood-donations
authorsteemitboard
permlinksteemitboard-notify-tanshu-blogs-20190817t063138000z
title
bodyCongratulations @tanshu-blogs! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@tanshu-blogs/birthday1.png</td><td>Happy Birthday! - You are on the Steem blockchain for 1 year!</td></tr></table> <sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@tanshu-blogs) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=tanshu-blogs)_</sub> ###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!
json metadata{"image":["https://steemitboard.com/img/notify.png"]}
Transaction InfoBlock #35624115/Trx 106ff218568f6af5411c4d9b6046b171cea59324
View Raw JSON Data
{
  "trx_id": "106ff218568f6af5411c4d9b6046b171cea59324",
  "block": 35624115,
  "trx_in_block": 2,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2019-08-17T06:31:39",
  "op": [
    "comment",
    {
      "parent_author": "tanshu-blogs",
      "parent_permlink": "help-kerala-flood-donations",
      "author": "steemitboard",
      "permlink": "steemitboard-notify-tanshu-blogs-20190817t063138000z",
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2018/08/24 15:52:24
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2018/08/20 10:21:30
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2018/08/20 09:31:57
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titlehelp!!!!! kerala flood-donations.
bodyRains.Lots of rain.That's all it took for the state of Kerala to flood in neck-deep water , for massive landslides to lay waste to roads and homes and for hundreds to lose their lives.An aeriel view of floods in Kerala. TO donate to kerala you can send donations how much you can afford through paytm. you will be able to see an icon for kerela donation.on the screen. or click link; ![images (1).jpg](https://cdn.steemitimages.com/DQmfRvqTQ73ApbpTsbSrjkcXE8tWQVaVmQP3mErA9Wp1x8i/images%20(1).jpg)https://t.co/L2oNSA8b8j The floods didn’t discriminate between people and property.At last count, 357 people lost their lives, and the floods destroyed roughly 906,400 hectares worth of crops. The cost to the state and its people stands at a staggering Rs 19,512 crore.For the state's oldest living generation, this was take two.The last rival to a flood of this scale and severity in Kerala was in 1924, where monsoons pelted the hapless state with 3,368 mm of rain. At the time, over 1,000 people are said to have lost their lives, not to mention an enormous toll on livestock.The 2,086 mm of rainfall this year is nowhere near as bad, but still 30 percent above the annual average. And the monsoon is far from over.Going beyond the weatherLeading experts suggest a heavy, artificial hand in this latest deluge. The state was forced to throw open the gates of 35 of its 39 dams, knowing full-well what was to come. Residents were forced to flee, on important roads that happened to be engulfed in floodwater and landslides.Kochi: People being rescued from a flood-affected region following heavy monsoon rainfall, in Kochi on Thursday, Aug 16, 2018. PTI Kochi: People being rescued from a flood-affected region following heavy monsoon rainfall , in Kochi on Thursday, Aug 16, 2018.![download.jpg](https://cdn.steemitimages.com/DQmTzhY7gpCpFHQcCmif8SdT5TNcBrinVVfnyuXmHnGDFie/download.jpg) And things only got worse from there.The intensity of the rains meant that two dozen more dams in states nearby were forced to follow suit. The dam gates were opened and a torrent of hell was unleashed on God's own country.Reading the signsKerala was one of four other districts in the country with rains more severe than predicted in 2018. The rains saw a steady increase since 2015, culminating in the 'large excess' seen this year .Records from the India Meteorological Department from the start of the torrential rains in Kerala – between 9 August and 15 August – show a 255 percent departure from the norm in the state's hotspots.Source: Hydromet Delhi/IMD“Heavy rainfall used to occur in Kerala , but not with such continuity,” Dr D S Pai, Climate Change scientist and analyst at Indian Meteorological Department said to Livemint. “This time, there has been widespread rain continually for a long time, which has not been seen in recent years.”Did we see this coming?Back in 2011, the Gadgil Committee put together a bunch of recommendations to the central government about ecologically-fragile regions in the Western Ghats. They found the highest number of vulnerable zones in Kerala and cited several reasons for them being classified as such.Some reasons for its vulnerability were geographical, a challenge posed by its position amidst the Ghats. Many other causes – quarrying, mining, illegal repurposing of forests, and high-rise building constructions – were man-made, controllable factors that the state chose to brush aside.“The flooding has definitely brought to light the existence of illegal stone quarries or a large number of unauthorised constructions on river beds,” Professor Madhav Gadgil said to PTI. "In this sense, it is definitely a man-made calamity where intense rainfall and human intervention have made it a serious disaster."The quarrying Prof Gadgil refers to, along with deforestation in the region, has intensified the horrific landslides the state is witnessing.Were there early signs?One of the most severely affected areas is Ernakulum in Kochi, along the Periyar river, into which excess water from the Idamalayar dam was drained.Dam-safety expert N Sasidharan claimed that authorities waited till the water level in the Idamalayar reservoir reached its capacity of 169 feet, and had it been opened sooner, would likely have spared the massive evacuation efforts in the vicinity. MC Joseph of Kuttikkatt village near Eloor said that the authorities made a mistake by opening all four gates of the dam at once, flooding the underlying regions at a much faster rate than expected.“This is the result of poor planning by the disaster management authority,” Sasidharan added.1010 The death toll in flood-hit Kerala has reached 357 as of 19 August, as 33 more deaths were reported on Saturday. "Sitting at Geneva, I had on 14 June cautioned that the reservoirs will be filled by July. I had made the prediction based on the experience in Thailand and Pakistan," Murali Thummarukudy, Chief of Disaster Risk Reduction in the United Nations Environment Programme (UNEP) said to Malayala Manorama, a Kerala daily.“Unfortunately, our engineers did not foresee this,” he added.Can't weather predictions warn us? Time and again, data and statistics on weather events have been used to fuel many arguments linking freak weather events, like the floods in Kerala, and climate change. Leading experts are wary about drawing the same conclusions; they state that weather data is complex, and particularly so in a tropical country like India.A climate study spanning 1950-2015 looks at extreme rain events in central India, which the researchers say happens three time as frequently in recent times as it did in 1950.The paper explains that these have also intensified, because westerly winds that move over an increasingly-warmer Arabian Sea carry surges in moisture with them as they move into the subcontinent during monsoons.Researchers add that predicting such events can be done two-to-three weeks ahead, at best.#TheInconvenientTruth“As a layperson, you can call it ‘unreliability’, or ‘ambiguity’. Whereas, to a scientist, the best term is really ‘uncertainty’,” says Dr Raghu Murtugudde, a prominent climate scientist at the University of Maryland.“You end up with ‘certain uncertainty’,” Murtugudde continues. “With a (weather) instability coming up, if it doesn’t build.. sometimes instead of building over Maharashtra, it builds a couple of hundred kilometres south, or a couple of hundred kilometres north.”Tropical countries like India evolve differently than countries in the West, which have larger land area and time periods over which to observe and predict a given weather event, Murtugudde explains.In a recent report by the World Bank Group, average temperatures throughout Southeast Asia were seen rising , and rainfall growing more erratic, particularly in India. The report predicts that these weather changes will continue to shadow us over coming decades. South Asian Monsoon Patterns rendered using Google Earth Engine. Courtesy: M D Madhusudan/Nature Conservation Foundation South Asian Monsoon Patterns rendered using Google Earth Engine. Image Courtesy: M D Madhusudan/Nature Conservation Foundation Cities such as Kolkata, Mumbai, Dhaka and Karachi – home to nearly 50 million – are at a substantial risk of flood-related damage in the century to follow, the World Bank report warns.What now? Floods during monsoons are as common in the centre of our country as much as they are in coastal states. Uttar Pradesh and Bihar are prone to bad monsoons and saw the worst of it in the catastrophic floods last year that affected an estimated 40 million people, according to a UN report.“The main reasons for floods have been assessed high- intensity rainfall in short duration, poor or inadequate drainage capacity, unplanned reservoir regulation and failure of flood control structures,” a report filed in March this year by the Ministry of Water Resources to the Rajya Sabha.The tools used by met officials to assess climate change are long term, area-wise monsoon predictions – which are, the Indian Institute of Tropical Meteorology concedes – far from easy to make.In the meanwhile, water levels in Kerala have slowly begun to recede. Unfortunately, the end of monsoon is still weeks away.Once the floods and fury recede, there are evidently many lessons for authorities to take away from this disaster.The next time such a disaster occurs, we have no excuse for not being better prepared.
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      "body": "Rains.Lots of rain.That's all it took for the state of Kerala to flood in neck-deep water\n, for massive landslides to lay waste to roads and homes and for hundreds to lose their \nlives.An aeriel view of floods in Kerala.\n\nTO donate to kerala  you can send donations how much you can afford through paytm. you will be able to see an icon for kerela donation.on the screen.\nor click link; ![images (1).jpg](https://cdn.steemitimages.com/DQmfRvqTQ73ApbpTsbSrjkcXE8tWQVaVmQP3mErA9Wp1x8i/images%20(1).jpg)https://t.co/L2oNSA8b8j \n\n\nThe floods didn’t discriminate between people and property.At last count, 357 people \nlost their lives, and the floods destroyed roughly 906,400 hectares worth of crops. The\n cost to the state and its people stands at a staggering Rs 19,512 crore.For the state's\n oldest living generation, this was take two.The last rival to a flood of this scale and \nseverity in Kerala was in 1924, where monsoons pelted the hapless state with 3,368 mm of\n rain. At the time, over 1,000 people are said to have lost their lives, not to mention \nan enormous toll on livestock.The 2,086 mm of rainfall this year is nowhere near as bad,\n but still 30 percent above the annual average. And the monsoon is far from over.Going \nbeyond the weatherLeading experts suggest a heavy, artificial hand in this latest deluge.\nThe state was forced to throw open the gates of 35 of its 39 dams, knowing full-well what\n was to come. Residents were forced to flee, on important roads that happened to be \nengulfed in floodwater and landslides.Kochi: People being rescued from a flood-affected\n region following heavy monsoon rainfall, in Kochi on Thursday, Aug 16, 2018. PTI\nKochi: People being rescued from a flood-affected region following heavy monsoon rainfall\n, in Kochi on Thursday, Aug 16, 2018.![download.jpg](https://cdn.steemitimages.com/DQmTzhY7gpCpFHQcCmif8SdT5TNcBrinVVfnyuXmHnGDFie/download.jpg)\n\nAnd things only got worse from there.The intensity of the rains meant that two dozen \nmore dams in states nearby were forced to follow suit. The dam gates were opened and a \ntorrent of hell was unleashed on God's own country.Reading the signsKerala was one of \nfour other districts in the country with rains more severe than predicted in 2018. The \nrains saw a steady increase  since 2015, culminating in the 'large excess' seen this year\n.Records from the India Meteorological Department from the start of the torrential rains \nin Kerala – between 9 August and 15 August – show a 255 percent departure from the norm \nin the state's hotspots.Source: Hydromet Delhi/IMD“Heavy rainfall used to occur in Kerala\n, but not with such continuity,” Dr D S Pai, Climate Change scientist and analyst at \nIndian Meteorological Department said to Livemint. “This time, there has been widespread\n rain continually for a long time, which has not been seen in recent years.”Did we see\n this coming?Back in 2011, the Gadgil Committee put together a bunch of recommendations \nto the central government about ecologically-fragile regions in the Western Ghats. They \nfound the highest number of vulnerable zones in Kerala and cited several reasons for \nthem being classified as such.Some reasons for its vulnerability were geographical, a \nchallenge posed by its position amidst the Ghats. Many other causes – quarrying, mining, illegal repurposing of forests, and high-rise building constructions – were man-made, controllable factors that the state chose to brush aside.“The flooding has definitely brought to light the existence of illegal stone quarries or a large number of unauthorised constructions on river beds,” Professor Madhav Gadgil said to PTI. \"In this sense, it is definitely a man-made calamity where intense rainfall and human intervention have made it a serious disaster.\"The quarrying Prof Gadgil refers to, along with deforestation in the region, has intensified the horrific landslides the state is witnessing.Were there early signs?One of the most severely affected areas is Ernakulum in Kochi, along the Periyar river, into which excess water from the Idamalayar dam was drained.Dam-safety expert N Sasidharan claimed that authorities waited till the water level in the Idamalayar reservoir reached its capacity of 169 feet, and had it been opened sooner, would likely have spared the massive evacuation efforts in the vicinity.\nMC Joseph of Kuttikkatt village near Eloor said that the authorities made a mistake by \nopening all four gates of the dam at once, flooding the underlying regions at a much \nfaster rate than expected.“This is the result of poor planning by the disaster \nmanagement authority,” Sasidharan added.1010\nThe death toll in flood-hit Kerala has reached 357 as of 19 August, as 33 more deaths \nwere reported on Saturday. \n\n\"Sitting at Geneva, I had on 14 June cautioned that the reservoirs will be filled by \nJuly. I had made the prediction based on the experience in Thailand and Pakistan,\" \nMurali Thummarukudy, Chief of Disaster Risk Reduction in the United Nations Environment\n Programme (UNEP) said to Malayala Manorama, a Kerala daily.“Unfortunately, our engineers\n did not foresee this,” he added.Can't weather predictions warn us?\nTime and again, data and statistics on weather events have been used to fuel many \narguments linking freak weather events, like the floods in Kerala, and climate change.\nLeading experts are wary about drawing the same conclusions; they state that weather data\n is complex, and particularly so in a tropical country like India.A climate study \nspanning 1950-2015 looks at extreme rain events in central India, which the researchers\n say happens three time as frequently in recent times as it did in 1950.The paper \nexplains that these have also intensified, because westerly winds that move over an\n increasingly-warmer Arabian Sea carry surges in moisture with them as they move into \nthe subcontinent during monsoons.Researchers add that predicting such events can be done\n two-to-three weeks ahead, at best.#TheInconvenientTruth“As a layperson, you can call it\n ‘unreliability’, or ‘ambiguity’. Whereas, to a scientist, the best term is really \n‘uncertainty’,” says Dr Raghu Murtugudde, a prominent climate scientist at the \nUniversity of Maryland.“You end up with ‘certain uncertainty’,” Murtugudde continues. \n“With a (weather) instability coming up, if it doesn’t build.. sometimes instead of \nbuilding over Maharashtra, it builds a couple of hundred kilometres south, or a couple\n of hundred kilometres north.”Tropical countries like India evolve differently \nthan countries in the West, which have larger land area and time periods over \nwhich to observe and predict a given weather event, Murtugudde explains.In a recent \nreport by the World Bank Group, average temperatures throughout Southeast Asia were \nseen rising , and rainfall growing more erratic, particularly in India. The report \npredicts that these weather changes will continue to shadow us over coming decades.\nSouth Asian Monsoon Patterns rendered using Google Earth Engine. Courtesy: M D Madhusudan/Nature Conservation Foundation\nSouth Asian Monsoon Patterns rendered using Google Earth Engine. Image Courtesy: \nM D Madhusudan/Nature Conservation Foundation\n\nCities such as Kolkata, Mumbai, Dhaka and Karachi – home to nearly 50 million – are at\n a substantial risk of flood-related damage in the century to follow, the World Bank \nreport warns.What now?\nFloods during monsoons are as common in the centre of our country as much as they \nare in coastal states. Uttar Pradesh and Bihar are prone to bad monsoons and saw the \nworst of it in the catastrophic floods last year that affected an estimated 40 million \npeople, according to a UN report.“The main reasons for floods have been assessed high-\nintensity rainfall in short duration, poor or inadequate drainage capacity, unplanned \nreservoir regulation and failure of flood control structures,” a report filed in March\n this year by the Ministry of Water Resources to the Rajya Sabha.The tools used by met \nofficials to assess climate change are long term, area-wise monsoon predictions – which\n are, the Indian Institute of Tropical Meteorology concedes – far from easy to make.In \nthe meanwhile, water levels in Kerala have slowly begun to recede. Unfortunately, the \nend of monsoon is still weeks away.Once the floods and fury recede, there are evidently\n many lessons for authorities to take away from this disaster.The next time such a \ndisaster occurs, we have no excuse for not being better prepared.",
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2018/08/19 14:54:45
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bodyok. same dude you also upvote me and follow me.
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2018/08/19 14:43:27
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bodymy post up vote me and follow me.
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2018/08/19 14:43:00
parent author
parent permlinktechnology
authortanshu-blogs
permlink4-commonly-used-attacks-by-hackers
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bodyhello guys!!! this is tanshu blogs and i am going to tell you about some of the commonly used attacks by hackers. so dont forget to follow the account and upvote and comment.![06f74d0f5fe6ecb88c14b00d297e5f11.jpg](https://cdn.steemitimages.com/DQmdAbEprd8vVKj8d8rFixpBBX8mEA5vYMv8fdTqZAaTpNG/06f74d0f5fe6ecb88c14b00d297e5f11.jpg) 1 . Man-in-the-middle (MitM) attack A MitM attack occurs when a hacker inserts itself between the communications of a client and a server. Here is a common man-in-the-middle attacks:![download.jpg](https://cdn.steemitimages.com/DQmf1eyY4McD5tt49tpkCxZVLasWQzUhu2cTmyfnmSka9HT/download.jpg) Session hijacking In this type of MitM attack, an attacker hijacks a session between a trusted client and network server. The attacking computer substitutes its IP address for the trusted client while the server continues the session, believing it is communicating with the client. For instance, the attack might unfold like this: A client connects to a server. The attacker’s computer gains control of the client pc/network. The attacker’s computer disconnects the client from the server network. The attacker’s computer replaces the client’s IP address with its own IP address and spoofs the client’s sequence numbers. The attacker’s computer continues dialog with the server and the server believes it still communicating with the client. 2 . SQL injection attack![download (1).jpg](https://cdn.steemitimages.com/DQmbST7HVrmGArYrvfNLKmE2oPMaGw9gbWEMuC7PqsWpgwi/download%20(1).jpg) SQL injection is a common issue with database consisting websites. It occurs when a malefactor executes a SQL query to the database via the input data from the client to server. SQL commands are inserted into data-plane input (for example, instead of the login or password) in order to run predefined SQL commands. A successful SQL injection exploit can read sensitive data from the database, modify (insert, update or delete) database data, execute administration operations (such as shutdown) on the database, recover the content of a given file, and, in some cases, issue commands to the operating system. 3 . Cross-site scripting (XSS) attack ![download.png](https://cdn.steemitimages.com/DQmWNP4afxL4rv4kJEfGZVWnJZaJ7z9ge7yXGamfLwRXzyE/download.png) XSS attacks use third-party web resources to run scripts in the victim’s web browser or scriptable application. Specifically, the attacker injects a payload with malicious JavaScript into a website’s database. When the victim requests a page from the website, the website transmits the page, with the attacker’s payload as part of the HTML body, to the victim’s browser, which executes the malicious script. For example, it might send the victim’s cookie to the attacker’s server, and the attacker can extract it and use it for session hijacking. The most dangerous consequences occur when XSS is used to exploit additional vulnerabilities. These vulnerabilities can enable an attacker to not only steal cookies, but also log key strokes, capture screenshots, discover and collect network information, and remotely access and control the victim’s machine. whatsapp can be hacked using this attack. 4 . Malware attack ![download (1).png](https://cdn.steemitimages.com/DQmUnb3M1wn6zuEDjEpdwmGf6AK2J1FtHtGCZyENF7o1x9j/download%20(1).png) Malicious software can be described as unwanted software that is installed in your system without your consent. It can attach itself to legitimate code and propagate; it can lurk in useful applications or replicate itself across the Internet. some most common types of malware are: =>File infector malware — File infector viruses usually attach themselves to executable code, such as .exe files. The virus is installed when the code is loaded. Another version of a file infector associates itself with a file by creating a virus file with the same name, but an .exe extension. Therefore, when the file is opened, the virus code will execute. =>System or boot-record infector/malware — A boot-record virus attaches to the master boot record on hard disks. When the system is started, it will look at the boot sector and load the virus into memory, where it can propagate to other disks and computers. =>Trojans — A Trojan or a Trojan horse is a program that hides in a useful program and usually has a malicious function. A major difference between viruses and Trojans is that Trojans do not self-replicate. In addition to launching attacks on a system, a Trojan can establish a back door that can be exploited by attackers. For example, a Trojan can be programmed to open a high-numbered port so the hacker can use it to listen and then perform an attack. => Worms — Worms differ from viruses in that they do not attach to a host file, but are self-replicating programs that propagate across networks and computers. Worms are commonly spread through email attachments; opening the attachment activates the worm program. A typical worm exploit involves the worm sending a copy of itself to every contact in an infected computer’s email address In addition to conducting malicious activities, a worm spreading across the internet and overloading email servers can result in denial-of-service attacks against nodes on the network. hope you liked it . thank you.
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      "body": "hello guys!!!\nthis is tanshu blogs and i am going to tell you about some of the commonly used attacks \nby hackers.\nso dont forget to follow the account and upvote and comment.![06f74d0f5fe6ecb88c14b00d297e5f11.jpg](https://cdn.steemitimages.com/DQmdAbEprd8vVKj8d8rFixpBBX8mEA5vYMv8fdTqZAaTpNG/06f74d0f5fe6ecb88c14b00d297e5f11.jpg)\n\n\n1 .  Man-in-the-middle (MitM) attack\nA MitM attack occurs when a hacker inserts itself between the communications of a client\nand a server. Here is a common  man-in-the-middle attacks:![download.jpg](https://cdn.steemitimages.com/DQmf1eyY4McD5tt49tpkCxZVLasWQzUhu2cTmyfnmSka9HT/download.jpg)\n\nSession hijacking\nIn this type of MitM attack, an attacker hijacks a session between a trusted client and\nnetwork server. The attacking computer substitutes its IP address for the trusted client\nwhile the server continues the session, believing it is communicating with the client. \nFor instance, the attack might unfold like this:\n\nA client connects to a server.\nThe attacker’s computer gains control of the client pc/network.\nThe attacker’s computer disconnects the client from the server network.\nThe attacker’s computer replaces the client’s IP address with its own IP address and\nspoofs the client’s sequence numbers.\nThe attacker’s computer continues dialog with the server and the server believes it \nstill communicating with the client.\n\n2 . SQL injection attack![download (1).jpg](https://cdn.steemitimages.com/DQmbST7HVrmGArYrvfNLKmE2oPMaGw9gbWEMuC7PqsWpgwi/download%20(1).jpg)\nSQL injection is a common issue with database consisting websites. It occurs when a\n malefactor executes a SQL query to the database via the input data from the client to\n server. SQL commands are inserted into data-plane input (for example, instead of the \nlogin or password) in order to run predefined SQL commands. A successful SQL injection\n exploit can read sensitive data from the database, modify (insert, update or delete)\n database data, execute administration operations (such as shutdown) on the database,\n recover the content of a given file, and, in some cases, issue commands to the \noperating system.\n\n3 .  Cross-site scripting (XSS) attack\n![download.png](https://cdn.steemitimages.com/DQmWNP4afxL4rv4kJEfGZVWnJZaJ7z9ge7yXGamfLwRXzyE/download.png)\nXSS attacks use third-party web resources to run scripts in the victim’s web browser or\n scriptable application. Specifically, the attacker injects a payload with malicious \nJavaScript into a website’s database. When the victim requests a page from the website,\n the website transmits the page, with the attacker’s payload as part of the HTML body,\n to the victim’s browser, which executes the malicious script. For example, it might \nsend the victim’s cookie to the attacker’s server, and the attacker can extract it and\n use it for session hijacking. The most dangerous consequences occur when XSS is used \nto exploit additional vulnerabilities. These vulnerabilities can enable an attacker to\n not only steal cookies, but also log key strokes, capture screenshots, discover and \ncollect network information, and remotely access and control the victim’s machine.\nwhatsapp can be hacked using this attack.\n\n4 . Malware attack\n![download (1).png](https://cdn.steemitimages.com/DQmUnb3M1wn6zuEDjEpdwmGf6AK2J1FtHtGCZyENF7o1x9j/download%20(1).png)\n\nMalicious software can be described as unwanted software that is installed in your \nsystem without your consent. It can attach itself to legitimate code and propagate; it\n can lurk in useful applications or replicate itself across the Internet. some\n most common types of malware are:\n\n =>File infector malware — File infector viruses usually attach themselves to executable code, \nsuch as .exe files. The virus is installed when the code is loaded. Another version of a\n file infector associates itself with a file by creating a virus file with the same name,\n but an .exe extension. Therefore, when the file is opened, the virus code will execute.\n\n =>System or boot-record infector/malware — A boot-record virus attaches to the master boot \nrecord on hard disks. When the system is started, it will look at the boot sector and \nload the virus into memory, where it can propagate to other disks and computers.\n\n =>Trojans — A Trojan or a Trojan horse is a program that hides in a useful program and \nusually has a malicious function. A major difference between viruses and Trojans is that\n Trojans do not self-replicate. In addition to launching attacks on a system, a Trojan \ncan establish a back door that can be exploited by attackers. For example, a Trojan can\n be programmed to open a high-numbered port so the hacker can use it to listen and then \nperform an attack.\n\n=> Worms — Worms differ from viruses in that they do not attach to a host file, but are \nself-replicating programs that propagate across networks and computers. Worms are \ncommonly spread through email attachments; opening the attachment activates the worm \nprogram. A typical worm exploit involves the worm sending a copy of itself to every\n contact in an infected computer’s email address In addition to conducting malicious \nactivities, a worm spreading across the internet and overloading email servers can\n result in denial-of-service attacks against nodes on the network.\nhope you liked it .\nthank you.",
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2018/08/19 11:54:21
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2018/08/19 11:34:27
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bodyas i am a also a citizen of India. i would like to wish everyone happy independence day and i am new to steemit and want to request everyone to follow me and i promise you to bring new interesting blogadand articles for you.
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2018/08/19 08:34:30
parent author
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authortanshu-blogs
permlink3-most-dangerous-hacking-attacks
title3 most dangerous hacking attacks
bodyhello guys!!! today i,ll tell you about five dangerous hacking attacks so let's begin. and please don't forget to follow me and like my post.![hh.jpg](https://cdn.steemitimages.com/DQmbCj3cFabHEHfyGPzgghLhDqoL8PejLpu9eyTX7CAegeT/hh.jpg) 1. Denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks A denial-of-service attack overwhelms a system’s resources so that it cannot respond to service requests. A DDoS attack is also an attack on system’s resources, but it is launched from a large number of other host machines that are infected by malicious software controlled by the attacker. Unlike attacks that are designed to enable the attacker to gain or increase access, denial-of-service doesn’t provide direct benefits for attackers. For some of them, it’s enough to have the satisfaction of service denial. However, if the attacked resource belongs to a business competitor, then the benefit to the attacker may be real enough. Another purpose of a DoS attack can be to take a system offline so that a different kind of attack can be launched. One common example is session hijacking, which I’ll describe later. There are different types of DoS and DDoS attacks; the most common are TCP SYN flood attack, teardrop attack, smurf attack, ping-of-death attack and botnets. ![images (1).jpg](https://cdn.steemitimages.com/DQmPAfZECvgF6EVz2AGMSVcB3DinkvYXQSDZojYgeanFt7x/images%20(1).jpg) 2. Phishing and phishing attacks Phishing attack is the process of sending emails that appear to be from trusted sources with the goal of gaining personal information or influencing users to do something but usually don't belong to a genuine source. It combines social engineering and technical tricks for influencing victims. It could involve an attachment to an email that loads malware onto your computer. It could also be a link to an illegitimate website that can trick you into downloading malware or handing over your personal information. ![download.png](https://cdn.steemitimages.com/DQmSymwWsuKpJEHSpVWRjwKbK9dfQxXZ9zu5oaVnHmkAjvZ/download.png) To reduce the risk of being phished, you can use these techniques: => Critical thinking — Do not accept that an email is the real deal just because you’re busy or stressed or you have 150 other unread messages in your inbox. Stop for a minute and analyze the email. => Hovering over the links — Move your mouse over the link, but do not click it! Just let your mouse cursor h over over the link and see where would actually take you. Apply critical thinking to decipher the URL. => Analyzing email headers — Email headers define how an email got to your address. The “Reply-to” and “Return-Path” parameters should lead to the same domain as is stated in the email. 3.Password attack Because passwords are the most commonly used mechanism to authenticate users to an information system, obtaining passwords is a common and effective attack approach and used in our daily life. Access to a person’s password can be obtained by looking around the person’s desk, ‘‘sniffing’’ the connection to the network to acquire unencrypted passwords, using social engineering, gaining access to a password database or outright guessing. if an unauthorised person gains access to your passwords he can gain access to your social media accounts etc. The last approach can be done in either a random or systematic manner: ![pp.jpg](https://cdn.steemitimages.com/DQmYERNzihvC8BXQNU8WGc9dwsPjHDku25HtY3TLiQmbcWV/pp.jpg) =>In a dictionary attack, a dictionary of common passwords is used to attempt to gain access to a user’s computer and network. One approach is to copy an encrypted file that contains the passwords, apply the same encryption to a dictionary of commonly used passwords, and compare the results.in this process,a file with common usable passwords are made and implemented to break up the passwords.Commonly used software for this is air crack ng. In order to protect yourself from dictionary or brute-force attacks, you need to implement an account lockout policy that will lock the account after a few invalid password attempts and try to maintain a difficult password. .![dd.jpg](https://cdn.steemitimages.com/DQmZFRMbZXkNv9SsohrYuq4ujbdvuq7npAZzaBxuFUSHfqx/dd.jpg) =>Brute-force password guessing means using a random approach by trying different passwords and hoping that one work Some logic can be applied by trying passwords related to the person’s name, job title, hobbies or similar items.Many apps are available on google playstore for brute forcing wifi passwords like wpa/wps tester. ![download 2.jpg](https://cdn.steemitimages.com/DQmZLuSzskiqqkWj5tej2ukY5AJNsrK9aPHLGH5oh6hoRVq/download%202.jpg) so please guys comment and tell me how do you like my article and tell should i make more articles and blogs about hacking. thank you.
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      "body": "hello guys!!!\ntoday i,ll tell you about five dangerous hacking attacks so let's begin.\nand please don't forget to follow me and like my post.![hh.jpg](https://cdn.steemitimages.com/DQmbCj3cFabHEHfyGPzgghLhDqoL8PejLpu9eyTX7CAegeT/hh.jpg)\n\n1. Denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks\nA denial-of-service attack overwhelms a system’s resources so that it cannot respond to service requests. A DDoS attack is also an attack on system’s resources, but it is launched from a large number of other host machines that are infected by malicious software controlled by the attacker.\n\nUnlike attacks that are designed to enable the attacker to gain or increase access, denial-of-service doesn’t provide direct benefits for attackers. For some of them, it’s enough to have the satisfaction of service denial. However, if the attacked resource belongs to a business competitor, then the benefit to the attacker may be real enough. Another purpose of a DoS attack can be to take a system offline so that a different kind of attack can be launched. One common example is session hijacking, which I’ll describe later.\n\nThere are different types of DoS and DDoS attacks; the most common are TCP SYN flood attack, teardrop attack, smurf attack, ping-of-death attack and botnets.\n![images (1).jpg](https://cdn.steemitimages.com/DQmPAfZECvgF6EVz2AGMSVcB3DinkvYXQSDZojYgeanFt7x/images%20(1).jpg)\n\n2.   Phishing and  phishing attacks\nPhishing attack is the process of sending emails that appear to be from trusted sources with the goal of gaining personal information or influencing  users to do something but usually don't belong to a genuine source. It combines social engineering and technical tricks for influencing victims. It could involve an attachment to an email that loads malware onto your computer. It could also be a link to an illegitimate website that can trick you into downloading malware or handing over your personal information.\n![download.png](https://cdn.steemitimages.com/DQmSymwWsuKpJEHSpVWRjwKbK9dfQxXZ9zu5oaVnHmkAjvZ/download.png)\n\nTo reduce the risk of being phished, you can use these techniques:\n\n=> Critical thinking — Do not accept that an email is the real deal just because you’re busy or stressed or you have 150 other unread messages in your inbox. Stop for a minute and analyze the email.\n=> Hovering over the links — Move your mouse over the link, but do not click it! Just let your mouse cursor h over over the link and see where would actually take you. Apply critical thinking to decipher the URL.\n=> Analyzing email headers — Email headers define how an email got to your address. The “Reply-to” and “Return-Path” parameters should lead to the same domain as is stated in the email.\n\n 3.Password attack\nBecause passwords are the most commonly used mechanism to authenticate users to an information system, obtaining passwords is a common and effective attack approach  and used in our daily life. Access to a person’s password can be obtained by looking around the person’s desk, ‘‘sniffing’’ the connection to the network to acquire unencrypted passwords, using social engineering, gaining access to a password database or outright guessing. if an unauthorised person gains access to your passwords he can gain access to your social media accounts etc.  The last approach can be done in either a random or systematic manner:\n![pp.jpg](https://cdn.steemitimages.com/DQmYERNzihvC8BXQNU8WGc9dwsPjHDku25HtY3TLiQmbcWV/pp.jpg)\n\n=>In a dictionary attack, a dictionary of common passwords is used to attempt to gain access to a user’s computer and network. One approach is to copy an encrypted file that contains the passwords, apply the same encryption to a dictionary of commonly used passwords, and compare the results.in this process,a file with common usable passwords are made and implemented to break up the passwords.Commonly used software for this is air crack ng.     \n\nIn order to protect yourself from dictionary or brute-force attacks, you need to implement an account lockout policy that will lock the account after a few invalid password attempts and try to maintain a difficult password.\n.![dd.jpg](https://cdn.steemitimages.com/DQmZFRMbZXkNv9SsohrYuq4ujbdvuq7npAZzaBxuFUSHfqx/dd.jpg)\n\n=>Brute-force password guessing means using a random approach by trying different passwords and hoping that one work Some logic can be applied by trying passwords related to the person’s name, job title, hobbies or similar items.Many apps are available on google playstore for brute forcing wifi passwords like wpa/wps tester.\n![download 2.jpg](https://cdn.steemitimages.com/DQmZLuSzskiqqkWj5tej2ukY5AJNsrK9aPHLGH5oh6hoRVq/download%202.jpg) \n\nso please guys comment and tell me how do you like my article and tell should i make more articles and blogs about hacking.\n                                                                                                              thank you.",
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Witness Votes

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No active witness votes.
[]