Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1821297BE82034F2B32B3C2C0B59777DA5165B30AD2BA111342FD73D856D9CA4E837516 |
|
CONTENT
ssdeep
|
96:NycI7UzzqTTUqAMCWGnnXz4kd5D/SeqFylxwZqvZP7AxTW5NPr:EiUCnnnXzjr0klxwMvBMxK5x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3b50d6237c92726 |
|
VISUAL
aHash
|
c3c7ffe7e7e43818 |
|
VISUAL
dHash
|
0f0f28084d4d7171 |
|
VISUAL
wHash
|
01c3efe7e7e03818 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0f0f28084d4d7171 |
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 50 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.