Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13523A53591442A3751A3C2C1B3396B6EB3D28389CB570709A2F8C36C6FEAC57DC76691 |
|
CONTENT
ssdeep
|
768:dwU+6Y5GejojhU+6Y5qjPDo5hrTmbZofdoU4D3MRoU8HXM2ErknksVPDeb:2U+6Y5GejojhU+6Y5qTDShrTmbQWU+3g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c82faaa2af688f8a |
|
VISUAL
aHash
|
010000003cffffff |
|
VISUAL
dHash
|
43e871b268a8b4f2 |
|
VISUAL
wHash
|
010018007cffffff |
|
VISUAL
colorHash
|
18030000400 |
|
VISUAL
cropResistant
|
a080aaa9a8a882a0,a2a2a96064e8a2a2,f0e4c2cdcd96e470,416bd2886a41a280,4545000000454500,43e871b268a8b4f2 |
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 2593 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)