Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D072A63141D05ABF92A74BE4B3B6EB21F1D1C05ACD491180B7FC86A5C3EACD4D91DA2E |
|
CONTENT
ssdeep
|
192:lmORmkmqHXQVQLXQVQ50oiKNJ+A3QmU1cIntCLTnMFuRe+vJ9c:sORmkrHhL0oiKNA2bSuRee9c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b173994da626668d |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98180c0c180df8fa |
|
VISUAL
wHash
|
7f0d0400043cffff |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
98180c0c180df8fa,4141253030495545 |
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 91 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.