Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D53B934E0042B7E115752BB73B3B6D5AAE142C6D7528090D2F98728FBF7E61889743E |
|
CONTENT
ssdeep
|
768:dBQBAdcz2Fmvu5oatutGeyiaimUrINjuT3fUAhtYpR:WqnutGeyiaimUrINjuT3fUAhtYpR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c5fa452a4b51ac7a |
|
VISUAL
aHash
|
00ffff7e00d36618 |
|
VISUAL
dHash
|
940f00d471a6d4b2 |
|
VISUAL
wHash
|
00ffff7e81c36410 |
|
VISUAL
colorHash
|
0f200038000 |
|
VISUAL
cropResistant
|
0f0e90d42386d4b2,80609196c6998000,7d3c1ecf078b4593,6163878c1f3e5d36,9ad96576767ca6a6,54d595d5555515e2,5acbb5d36cad884a,b0b25352e86b27a7,0c1c094c4c988d44,738f476767e7687a,b1b139271e1d1b1a,8c6e129a89898989 |
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 22015 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.