Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE93A6B26608257A93170AE9F4A1530E635BB34EEEC79480DBBD5BF43BD3C74E809524 |
|
CONTENT
ssdeep
|
1536:CchUE4zPdRylAGWiiiii+iiiii+iiiii+iiiii+iiiii+iiiiiTAO4Djo5AF8+d:Ccr4rukOYjomX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f5bab0a286a7a8e |
|
VISUAL
aHash
|
013f88003a0037ff |
|
VISUAL
dHash
|
51525b56f6404547 |
|
VISUAL
wHash
|
01bfb8803e003fff |
|
VISUAL
colorHash
|
31209208000 |
|
VISUAL
cropResistant
|
cfcb6befd7d76d2e,9d870313930b0e1b,f6f6f6ffedf6f6f6,51525b56f6404547 |
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 413 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.