Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AEB219B2D9C470BA521797F4F460AB9AB09B30BDC746D094D2F847D4BBC6CF88C59984 |
|
CONTENT
ssdeep
|
384:5ALSKol7IE6KolcIECuO4QLWco9RcYy9cgiQiI8nPJyjGVUIIgGB:iBY5535CuO5k4oQxPIj0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d27378966d8d862 |
|
VISUAL
aHash
|
83021c18183c1800 |
|
VISUAL
dHash
|
366a3130b2323204 |
|
VISUAL
wHash
|
9b1bff1c3c3c3c00 |
|
VISUAL
colorHash
|
30200030000 |
|
VISUAL
cropResistant
|
8209344d4d0c218a,a0c0ce43cdeee96c,366a3130b2323204 |
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 7567 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.