Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB74B630E210311E5363D38B75E2CB8ED233A548DB23A56CEFA4912F67D9C750D62AD9 |
|
CONTENT
ssdeep
|
1536:j3T7diW1ZghITATauzVC9R3FC5Pe7C0kblCmj5eCNQ5QCSQydCA3ZdCRyfiCwwvc:bvdhXKnglT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a435416957ceddd0 |
|
VISUAL
aHash
|
c003deb3eff17f7c |
|
VISUAL
dHash
|
06d724258a23c58d |
|
VISUAL
wHash
|
e003d44147f33f7c |
|
VISUAL
colorHash
|
07208040001 |
|
VISUAL
cropResistant
|
06d724258a23c58d |
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 379 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 1 other scan for this domain