Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D994B9A2D029053E012E97E6AA6B63AC14FD10ECFF0115ECCA5981BB96DFD50F553FA0 |
|
CONTENT
ssdeep
|
1536:r2aaaaaaaaUeFaaaaaaaaUeFaaaaaaaaUeFaaaaaaanueT44444444uee6aaaaaO:rgUcm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf1b54c445c15c4f |
|
VISUAL
aHash
|
008589ffbfffff93 |
|
VISUAL
dHash
|
d819192a56861336 |
|
VISUAL
wHash
|
0085008fa7ffff83 |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
8080826262c280c0,1919396654aa1636,f4c41b593913193b,0f6b4555c527271b,9d5653490d9f4686,5d561b814c2d9726,1f8183c2c286862a |
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 59 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.
Found 10 other scans for this domain