Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117522CB9B22412B1DA4343DBFE2223FDF51391AED7526B88D3548308B1D98FDC8159C6 |
|
CONTENT
ssdeep
|
192:QoIoBYJ5J9Cp9TYiwS488Lzku9cuGRmKbMpBXp7sfgg8gk:QpogsEi34hLgsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6b94b655e0d0a2 |
|
VISUAL
aHash
|
ff00000000bdffff |
|
VISUAL
dHash
|
7173435373710c4e |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
7173435373710c4e,16346cacd8703406,ffffeecbdbf3beef |
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 490 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.