Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110D3C671F220315E5633C3CA75A2DF8EE223F58CDB32A258EE94912F66D5CB60C259C5 |
|
CONTENT
ssdeep
|
1536:QX3csF1Zg7mTU90+47ULSSDdLS6WnFmN92e0oCzopgl2+Z1u8s2ujDN4h6sGUS0j:WXWK771 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4753491470d8fd6 |
|
VISUAL
aHash
|
62c0bd61e6cddfb1 |
|
VISUAL
dHash
|
ce9562cb8c51b625 |
|
VISUAL
wHash
|
3ac0be21e6997791 |
|
VISUAL
colorHash
|
07202040001 |
|
VISUAL
cropResistant
|
ce9562cb8c51b625 |
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 318 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.