Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160E229B4A2309335B1C24BD8DA642528765FE1DCD7C695B4F388AF51B0D6CE8D9260CB |
|
CONTENT
ssdeep
|
384:Y7WUWegufTrRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3AswqRWMMd:Y7WUWeguRhhPhleMeDGCSPxeeWmHZW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f03f07bc6ac36948 |
|
VISUAL
aHash
|
800642e0c0ce7f70 |
|
VISUAL
dHash
|
5cbc8a8bb39cccc1 |
|
VISUAL
wHash
|
80064ee8d8deff70 |
|
VISUAL
colorHash
|
30001000e00 |
|
VISUAL
cropResistant
|
08104c4c4c100000,5cbc8a8bb39cccc1 |
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 68 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)