Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C939560C2A6567701E782D4B5A5CBBA33D00188DE510F585EBC8776AFCEE96AC0318F |
|
CONTENT
ssdeep
|
768:ljTFXmAVnRHZeZAt2puoT0oTf7NY7NSGpFjdcdaFipmeRl9t1VMVg3KePWnNV8xp:hEpu52N6NSGpmaYpm/G3lP2/8GpcH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b93c69e9b30646c |
|
VISUAL
aHash
|
3c3c001c3c000000 |
|
VISUAL
dHash
|
696969796969170b |
|
VISUAL
wHash
|
3c3c7c7cbdbc0181 |
|
VISUAL
colorHash
|
19030000040 |
|
VISUAL
cropResistant
|
8083bab08c8c8890,696969796969170b |
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 69 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.