Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB639631A48904BB02B7D6C0F0667F1A71E6F71FE18AD0925AFC8AA65FD3DB5B800574 |
|
CONTENT
ssdeep
|
1536:amWeYbyldOgYg357C4nPFb+K/+Bvzx76/:amWehdfMy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
912d4532a7cf4b2d |
|
VISUAL
aHash
|
000038ffef000800 |
|
VISUAL
dHash
|
6394f0d19d9d38d4 |
|
VISUAL
wHash
|
01003cffffc57c24 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
6394f0d19d9d38d4 |
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 385 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.