Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143D3B671F220315E5633C3CA75A2DF9EE223F58CDB32A258EE90912F66D9CB50C259C5 |
|
CONTENT
ssdeep
|
1536:vJ3cfqU1Zg7WTOR5gAUb3TPVBSjNCR+IiVpFlh1+il21ZKuvsfNFHrjh6sGQbP1x:BIhw7771 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4651d1357ca87d1 |
|
VISUAL
aHash
|
c243df74c6ffdfd7 |
|
VISUAL
dHash
|
4e96b4c58a4939ae |
|
VISUAL
wHash
|
2643d661c23fc8d7 |
|
VISUAL
colorHash
|
07208040002 |
|
VISUAL
cropResistant
|
4e96b4c58a4939ae |
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 675 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.