Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A242AF8536893F4D6864BE4E9711905336910FFBB908B98C3618DE0F9B26CDD479CA2 |
|
CONTENT
ssdeep
|
3072:1OwTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1D1:07jDw/47g7/tV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aad175e0aa3c7531 |
|
VISUAL
aHash
|
ffff007f7f000000 |
|
VISUAL
dHash
|
9e38a2c5d58f2f2b |
|
VISUAL
wHash
|
ffff047f7f400000 |
|
VISUAL
colorHash
|
30030000600 |
|
VISUAL
cropResistant
|
9e38a2c5d58f2f2b |
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 619 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.