Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8321E7BE1215D2F117F94C5EABA630521611184EA4A1F42B7BC17FF1FCAC29A8323C6 |
|
CONTENT
ssdeep
|
192:byuHiuyfHFyyHYNP9qix2y2kwWtyQRst2TYyy6+s+++xs++++Zs++++O/Y9s+++3:WuCtfwy6xFiWoQWCPy6L/Y2He1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cecc3333cc1989 |
|
VISUAL
aHash
|
e7e7ffc7c7c7e7e7 |
|
VISUAL
dHash
|
8c4c168d8d8d1c0e |
|
VISUAL
wHash
|
64e4c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000038040 |
|
VISUAL
cropResistant
|
8c4c168d8d8d1c0e,ac244fea4c6dadca |
Victim enters banking credentials including account numbers and security questions. Attacker gains full access to victim's banking services.
Malicious code is obfuscated using 3 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.