Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8920C7DF61923705C0303DAB95927F6F31341FCC662AA68C628C158B3D95FE82799C9 |
|
CONTENT
ssdeep
|
384:QboClJNFUK/E2f5uIhcF30i9p/sndIsmMpBZ7eg/B:2oNeRhK/9pIm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b12a558bcdcec722 |
|
VISUAL
aHash
|
f9c7c7ffcffffffe |
|
VISUAL
dHash
|
739d8c109c553526 |
|
VISUAL
wHash
|
d8c6467e0c04147e |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
739d8c109c553526 |
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 485 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.