Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193A2B8B493885636520287DCB7AEF7F930D6928ECB0B5050E3D803ACD6D5CFAEC59256 |
|
CONTENT
ssdeep
|
384:+dg4AtlxfIK3FtBt2t2t2t2trtrtrtrtptptptpt2t2t2t2tstststrc3vkS/P/J:utAfauAAAAppppPPPPAAAA222A3v/P/J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333993366999836 |
|
VISUAL
aHash
|
e7e7ffffe7efffff |
|
VISUAL
dHash
|
4c4c30144d081004 |
|
VISUAL
wHash
|
e0e0f8e0243c2c24 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
4c4c30144d081004 |
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 146 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.