Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0D37FF83284E2B1958383F7506A5113733A113BA51ECD60D3A4EE5DA7D8C9ED86BEC4 |
|
CONTENT
ssdeep
|
1536:C+Pm1AJ+uqo7exvBE5l1AJ+uQrdY4bLJeNMQKUyzWKHdULDkAzeKn:io78YTJeNcCA6LJn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9fc631642c3393ce |
|
VISUAL
aHash
|
003c3c2c3c00001c |
|
VISUAL
dHash
|
c86828283554553a |
|
VISUAL
wHash
|
64fc3c3c34243c2c |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
c86828283554553a |
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 11801 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.