Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E68374726183A83B4663C2D0E2766B1DB1C6A30DCA120D52F7FD876B9FDAD64FC25190 |
|
CONTENT
ssdeep
|
1536:dS6B44xJk/3lneiZbqrM5VB6By4YuK2pHh8sr4pf8cYIzNkiOqoQ71VQZ3CX/3lJ:tJGhasB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed3a926e54926c39 |
|
VISUAL
aHash
|
fffb899191f1fffe |
|
VISUAL
dHash
|
24323333232303b6 |
|
VISUAL
wHash
|
02bb819191f1f97e |
|
VISUAL
colorHash
|
07010000480 |
|
VISUAL
cropResistant
|
24323333232303b6 |
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 139 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.