Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C73A5647151AD73902B83DAE239070B37A2F78AD34206C4D7E547BA17E8D28ECD9379 |
|
CONTENT
ssdeep
|
768:tD1bEVQG/dCsWYe5MA0zuRkGpTRDb1JNUuRyod49k7Qu:tF/hYe3CB6bN6D9Du |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b113ecc23cc4eccb |
|
VISUAL
aHash
|
ff0f0f0f0fffff83 |
|
VISUAL
dHash
|
3cdbdfdeda0c8e27 |
|
VISUAL
wHash
|
0f0b0f030fe7ff80 |
|
VISUAL
colorHash
|
0f603000000 |
|
VISUAL
cropResistant
|
3cdbdfdeda0c8e27,71f89893b8ec898c,c4f8e8686afbfae2,00942188d8552800,430c2c7e1e6e6c6c,2830303474647436,f3f6fcfcececfcbe |
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 16 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.