Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1438309A43A59F5A65AF3439310DF1503B378162B180E4D206350ECAE76BDC9FA067FDA |
|
CONTENT
ssdeep
|
1536:DTVq53QlHxh8N6g8XXhjaPnQWT+96luJ+pic:DTj/mN6ZXt196U+ph |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cc66339966 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
00081030b2b20c10 |
|
VISUAL
wHash
|
4ab758ff183a5087 |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
00081030b2b20c10 |
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 32 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)