Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBA32A703618B5B65AB347E350EB3223B278432ED40F88606774E9A963DDC5FA067F85 |
|
CONTENT
ssdeep
|
1536:h30AIka75sWRNLpTOq53QQHxh8N61UsXhjaPnQsR+95+uUGQNm:h30nka75sWRNLpTokmN6CstZ95YGQg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73c3596a7343435 |
|
VISUAL
aHash
|
023c003c3c3c3c3c |
|
VISUAL
dHash
|
c471b2f0e8e8f0c0 |
|
VISUAL
wHash
|
023c007e7c7c3c7e |
|
VISUAL
colorHash
|
32e00000000 |
|
VISUAL
cropResistant
|
c471b2f0e8e8f0c0 |
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 222 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.