Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BEB32070A208AD3DA08BC6E4E772773951BDD385D21B8188F6F883B5578BC58EC33598 |
|
CONTENT
ssdeep
|
1536:U4TsIxR6xCSKQKESBKy8htvKEE0n4UYEKZd/+nBeqCMCMCMCMCOzCMCMCMCMCou6:ZtBE////H////g////77y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3343c94f6c13e96 |
|
VISUAL
aHash
|
4600207c7e386880 |
|
VISUAL
dHash
|
d431c8c8ecc0c001 |
|
VISUAL
wHash
|
4600607e7e7c7cf1 |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
d431c8c8ecc0c001 |
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 114 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.