Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D42ED3470033877923795D1F4A15F083297933AC70A1E6CF3E9166A6FC9CE5AE617A8 |
|
CONTENT
ssdeep
|
192:CxnbbcgSjecrTxxzrtKvhbV6QmzVAKJuva1aiakhWUGB85wX7VrykYvErEFS5L3T:MwecrTxxzJgX6kB85SGkeFS5L3L3L3Lv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c76d31961b48b4 |
|
VISUAL
aHash
|
a0f0783e3f080f1f |
|
VISUAL
dHash
|
42c2e0e8ecd2d9f0 |
|
VISUAL
wHash
|
a0f07c7e3f4a071c |
|
VISUAL
colorHash
|
08001000180 |
|
VISUAL
cropResistant
|
c4c060e0b0bae1eb,0004808080c0f0de,cfc3b3f1b9bc7d7c,7fbcf9e1c1c1a04a,42c2e0e8ecd2d9f0 |
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 585 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.