Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17825B1A3184571278FA773991E39F71CE3D321A74F556E0225B08E1FEA83B525C128BB |
|
CONTENT
ssdeep
|
1536:CCEeZAvZAxZAnZATYZAlZAqZAmAZZAvZAxZAnZATYZAlZAqZAmAlZAvZAxZAnZAT:C5/aPQI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1134c57794f3153 |
|
VISUAL
aHash
|
00ffcfcfc7c7ffc3 |
|
VISUAL
dHash
|
d02e1e9e9f1e0707 |
|
VISUAL
wHash
|
00ffc7c3c7c3c381 |
|
VISUAL
colorHash
|
0f200018040 |
|
VISUAL
cropResistant
|
269a9e9e9f1e0307,d0f0d8d00268e840,deee6c744732b2c2,0000005d61900966 |
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 4904 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.