Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170E1F1303001359151378BC1F5A25F1E2127C337DF8A19296FA50A66AFCDCE989B5BAA |
|
CONTENT
ssdeep
|
192:aMtbQ3AIC2abusJgSHGTtSSAFKCvENfYNqyTzhBeC3L:zQwXnFSCtTzhBeC3L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ffff5d08008095d5 |
|
VISUAL
aHash
|
1000ffff00000000 |
|
VISUAL
dHash
|
1000000100000000 |
|
VISUAL
wHash
|
b880ffff00000000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
1000000100000000 |
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 71 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)