Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD634F30A454AA3B00D795C9A272676A72F58348D6230289FBF9C3AE1FDFC59DE37114 |
|
CONTENT
ssdeep
|
1536:L4444csIxWZPXA/EEzkiwIFgvZRD1Bq7IdN:wkTiwIFgvZRDS7SN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9615e51b12ed19b6 |
|
VISUAL
aHash
|
000000000008ffff |
|
VISUAL
dHash
|
fecef6fd7d3926aa |
|
VISUAL
wHash
|
060602040cffffff |
|
VISUAL
colorHash
|
0a001000180 |
|
VISUAL
cropResistant
|
12008a2a26aaaaaa,fecec4f2f9dd793b |
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 255 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.