Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155E2D6B1F11120AA82BBA4C1D1767F2A72D3F70F824685556AEC41865FD3CB9FE814F2 |
|
CONTENT
ssdeep
|
192:6kmRQJU0/RkpqA2/sQo9soFDnFZFODFQMIsMOTN/zVz8z4Lz4xXziznzgCz5z3zs:3eQo9soFDnFZFODFQMFsRkWxhrrL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666661399999999 |
|
VISUAL
aHash
|
e3e3f3e7e7e7efff |
|
VISUAL
dHash
|
8c25040c0c0c1c1c |
|
VISUAL
wHash
|
62e3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
8c25040c0c0c1c1c |
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 25 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)