Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10405E37AEC0C6A09707A75CDE3DC4D8FE995F357E32218E696C5DF31818A818781A87C |
|
CONTENT
ssdeep
|
1536:3F+GUlpQXhNC8eqkfWKwPFwSGutEqshNC8eqkfWKwFPwWcutEmNS+vJ9fasv5jt8:1YpQXhNSXGEqshNSpGESEXZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93b464639794731 |
|
VISUAL
aHash
|
00ffcbc9cfffffff |
|
VISUAL
dHash
|
6911939394e27352 |
|
VISUAL
wHash
|
0008c9c94b7bb9fe |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
6913939394e27352,1629694969690929,e7cb91cbc7df1d0d |
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 57 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.