Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADA21C30F187129A21A79EF0F8307F1A7557F34FC959C5642B6891B80FCBCB4B9296A4 |
|
CONTENT
ssdeep
|
192:DHn+y/2ktaKV4sWFZlmWUwBRTtv+mCTW0lFrw:r5+ktV4blmWUwrTtWpJjE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6c121253656d6b |
|
VISUAL
aHash
|
00df93e3ffffffff |
|
VISUAL
dHash
|
4936361648062322 |
|
VISUAL
wHash
|
00839383ffffc390 |
|
VISUAL
colorHash
|
07c00000080 |
|
VISUAL
cropResistant
|
3436361648262322,008120030b008000 |
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 28 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.