Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1084329ECB911E412997341E720EB254A737D951B540C0AB0E324EBEF7DB844B216BBDE |
|
CONTENT
ssdeep
|
1536:iizodrnziFYAZkBn94vnTHcB9isUWqc712//4QK:3iL+OU86b8qcgXTK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3e3cc3c34b46496 |
|
VISUAL
aHash
|
047c7c7c0c003c3c |
|
VISUAL
dHash
|
9cc9ccc83814f4c0 |
|
VISUAL
wHash
|
467c7c7e0e003c7e |
|
VISUAL
colorHash
|
38006200000 |
|
VISUAL
cropResistant
|
9cc9ccc83814f4c0 |
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 489 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.