Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB038AB0A441197312FBCAC1E5707F6DB1B3F30BC6AA94059FA849964FC3CA4BC29572 |
|
CONTENT
ssdeep
|
384:2jCzvFqoQKHs+NmDTtlKys0Ynjb9Q8hYe/:2jMvls+NWTtljab9Q8hYe/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f9901d6b08bfd1e0 |
|
VISUAL
aHash
|
1800ffff40000100 |
|
VISUAL
dHash
|
3105aaaa87021315 |
|
VISUAL
wHash
|
ff80ffffe1808100 |
|
VISUAL
colorHash
|
39000007000 |
|
VISUAL
cropResistant
|
a2900c4c0c0c92aa,8a920c0c4c0892a2,3105aaaa87021315 |
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 69 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.