Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186F2E6746294D7B6038BC7E0B230E26EF2936B58CE238A0793F8A6D357D5C9CCE54485 |
|
CONTENT
ssdeep
|
768:mbOkahBWh/sZMtpy1K5xRd/dUJflRdGqULB9Z1d/MJfp4D:mXd/SZw9nd/3D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91e96e91b126cfd0 |
|
VISUAL
aHash
|
ff000000ff180000 |
|
VISUAL
dHash
|
cc1020dc9469acaa |
|
VISUAL
wHash
|
ff00f80eff7f0200 |
|
VISUAL
colorHash
|
30000007000 |
|
VISUAL
cropResistant
|
8001c2d2d2c20180,939393aab2360626,367666c6c696932b,c0909090908025c2,d0939384a296a6c8,d4938396362626c4,d0969384a2260626,a3a3b3b2b2321a1a,0000000000000000,4c1020d49069acaa |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 1738 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
Pages with identical visual appearance (based on perceptual hash)