Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DD3FBE183A075FD4117AFD4DB227AAA355B34BFFFA3CA8443B84751668BC98D848C44 |
|
CONTENT
ssdeep
|
1536:JXfbX0KVlQLfUU9SqMr7pi2lQLfUUNlQLfUUzR4CFf5leIE7RO1+9fTirPOb:JVIN2INIBF3S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f391d83754dc8456 |
|
VISUAL
aHash
|
6ecfffffe2e7fcf4 |
|
VISUAL
dHash
|
d85900104d4c310d |
|
VISUAL
wHash
|
7eeee4e0e0e0f0e0 |
|
VISUAL
colorHash
|
07000400180 |
|
VISUAL
cropResistant
|
d85900104d4c310d |
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 1905 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.