Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15804E61562F262AA449FB9A0E837BFD1613B633FB78543C8705C87A0066586DD637CBC |
|
CONTENT
ssdeep
|
3072:URggjPihMlIt8ffxO3iLHVHmWlbeCMKKknN:WlGY1xb7MryN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b199333999339966 |
|
VISUAL
aHash
|
cfffdfcfffffc3e7 |
|
VISUAL
dHash
|
1830301030304c4c |
|
VISUAL
wHash
|
0f3f3f0f3c3c002c |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
1830301030304c4c |
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 8705 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.
Found 9 other scans for this domain