Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107D395F133501BAC60AB4BF66130B18B8A4CE645DFD88DADE49D1365FBF2D7261D6880 |
|
CONTENT
ssdeep
|
1536:pH8er6gLHM87L7b7gzDVZ29QmvIQ3MOTwvZGGDhq6c:pH8erW/r1S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
857a6a857a878b6a |
|
VISUAL
aHash
|
81000000407f7f00 |
|
VISUAL
dHash
|
537474d492f2f431 |
|
VISUAL
wHash
|
e11c1c80c07fff99 |
|
VISUAL
colorHash
|
30200010000 |
|
VISUAL
cropResistant
|
d456cdbaf0f47069,f0dc9c98d8b2be69,b131998e1694a233,537474d492f2f431 |
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 29 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.