Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3E239B4A230D335B1C24BD8DA6425287A5FE1DCD7C695B0F388AF51B0D6CE8D9260CB |
|
CONTENT
ssdeep
|
384:Y7WUReguWTXRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3As4WRWCMd:Y7WUReguAhhPhleMeDGCSPxeeWmHzW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e33e3c684b684e |
|
VISUAL
aHash
|
00666a60f81e3630 |
|
VISUAL
dHash
|
5cdcdacbb33c6c69 |
|
VISUAL
wHash
|
80666f68f89e3f60 |
|
VISUAL
colorHash
|
300010000d8 |
|
VISUAL
cropResistant
|
f8cbeece8c891924,5cdcdacbb33c6c69 |
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 74 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.
Pages with identical visual appearance (based on perceptual hash)