Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEE2E7709260A67B510293F4E33AB62777D24299EF2305A453F48F59AFCAC9DCC259C3 |
|
CONTENT
ssdeep
|
384:QcwQBAnoaH6F/u17UzTIKvYRJu72VlCisRWdvfw3UbAo5v/0OzsZOzlcYsJLWb:WN2/U71cYPFrsRWR4kbppcOLzu5Qb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9312cdecec69b2a8 |
|
VISUAL
aHash
|
30040400ffffffff |
|
VISUAL
dHash
|
c1d8d9692b323323 |
|
VISUAL
wHash
|
00000400fffffbff |
|
VISUAL
colorHash
|
17202000280 |
|
VISUAL
cropResistant
|
242323c1c0c0c8c9,8a8a8e868eb0a2a2,4100846349706030,502b2b2333332b32,c0c8d8d8d9596969 |
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 275 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)
Found 1 other scan for this domain