Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151E3D931626415BA321343D4F1213B6861A7B21ECE170DE8A7FDE291F7CADAA6C370D5 |
|
CONTENT
ssdeep
|
1536:4s2oXyo2KTVAvpPEZj/zEf5QoDd/9/yAvpPEZj/zEf5QoDd/9/goio9Z/1ylB12/:4s2oXyo2KThoio9ZI+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccc9a373a3998c8e |
|
VISUAL
aHash
|
ff503c1818100001 |
|
VISUAL
dHash
|
d2d233b230304c6d |
|
VISUAL
wHash
|
ff623c183c182677 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
65515cc51958d1e7,d2d233b230304c6d |
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 68802 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.