Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F414C634B110610E5733AF46BAD2DF8CE693F789C512E5B8E9A6A17F16E0DE50C20C76 |
|
CONTENT
ssdeep
|
1536:EYs4Go2V8qnoE8vvE+dk1ZgbITATV1QtmYkqAjpk9QGOAR1VPOGZIgl2+Zhu8s2i:lA9oE8vv14oYuP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b36c299790878e5b |
|
VISUAL
aHash
|
c7c19976c6bfadff |
|
VISUAL
dHash
|
0c175284a8465988 |
|
VISUAL
wHash
|
2ec19062c6baad6f |
|
VISUAL
colorHash
|
07201000001 |
|
VISUAL
cropResistant
|
0c175284a8465988 |
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 350 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.