Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4043BF562D462D89107DBE4E1B2B965716F71FFEB92C68CC2E44A91B39189C8CC8DC0 |
|
CONTENT
ssdeep
|
1536:RbeWKH6yHg12DAl9YTiX6mXAKi/rM3i02RbDqKcjnduP7Mt/OfAnyjTu8aSZ5HCQ:/laZcjnduP7ZTu8aSZ5HP5/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9565631d1ce5e531 |
|
VISUAL
aHash
|
4266603c1e1e7e0d |
|
VISUAL
dHash
|
c6c8c87434f2d2dd |
|
VISUAL
wHash
|
c26e603c1e1e7c1f |
|
VISUAL
colorHash
|
31006010000 |
|
VISUAL
cropResistant
|
c6c8c87434f2d2dd |
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 5236 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.