Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE7321B1C566353B02278ED5B4716B4FB2D3831EDEA3461157FC87DD5BEAC90EA0088A |
|
CONTENT
ssdeep
|
1536:dARowO7QcVIKZJRf1cOXR79kAp+mNRmkbDa+:xBZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf62949cc41d6372 |
|
VISUAL
aHash
|
f7c181e1ff8f8fff |
|
VISUAL
dHash
|
640f0b0b2f3b3813 |
|
VISUAL
wHash
|
b7c181c1878f8f8b |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
640f0b0b2f3b3813,a7c3c36333733333 |
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 46 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.