Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13704E75562F262AA449FBAA0D837BFD1613B633E778143C8B15C87B0066586DD237CBC |
|
CONTENT
ssdeep
|
3072:RRggjPvhMlIt8ffxO3iLHVHmWlbeCMKKF5Z:KlGY1xb7MrbZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b326cc99999923ce |
|
VISUAL
aHash
|
e7c3c3e7ffffffff |
|
VISUAL
dHash
|
1c4c4d4c30181030 |
|
VISUAL
wHash
|
030303033f0f1f3f |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
1c4c4d4c30181030,8d8c8c9cd4948eb7 |
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 8632 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.