Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0F2A531B2121A7E160747EDB464F37AE09BDBC8CE0B9588B35D42932FD6CE98E72154 |
|
CONTENT
ssdeep
|
768:60XjouES/9ugmXFyBLCHKfOvyBsCt12WaqfURemRzrA83UWRyKjPENteYEmtXr:dMgmX4LCHKmKsCt12WaqMRemRzrV3UW2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd4d262299999a9d |
|
VISUAL
aHash
|
00003c3c3c180000 |
|
VISUAL
dHash
|
8206707171690602 |
|
VISUAL
wHash
|
4380bcbcbcbcc2e3 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
e0eaaaa6a6887971,8206707171690602 |
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 236 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.
Pages with identical visual appearance (based on perceptual hash)