Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA7322B1C566323B42274ED4B4712B4FB6D3835EDE974A1057FC87CE5BDAC90EA0098A |
|
CONTENT
ssdeep
|
1536:IyFXEdAAs9ObtYjIOAHJUBpNxpaGntCoyxiGBy:IyFXeGg2Qy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb638c9ec4963691 |
|
VISUAL
aHash
|
f78181c1ff8f8fff |
|
VISUAL
dHash
|
650b1b0b273b3813 |
|
VISUAL
wHash
|
f7818181c78f8fc3 |
|
VISUAL
colorHash
|
07e01000000 |
|
VISUAL
cropResistant
|
650b1b0b273b3813 |
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 37 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.
Pages with identical visual appearance (based on perceptual hash)