Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119626A75660040AB47BB89C4F2607F1FB6D3F30F81068556ABBD91992FC3CB6BB25462 |
|
CONTENT
ssdeep
|
192:6OVR2ZtU8MtFPF7FwFVEe48ViRUWK6iLv:jS/MtFPF7FwFp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc99333333666ccc |
|
VISUAL
aHash
|
0818181818001018 |
|
VISUAL
dHash
|
10b2b2b2b2102830 |
|
VISUAL
wHash
|
3c3c1c3c183c3c3c |
|
VISUAL
colorHash
|
38012000040 |
|
VISUAL
cropResistant
|
7c62930ab8d27434,10b2b2b2b2102830 |
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 23 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.