Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2523DBDA11412E5CD0343D7FE2222A9F243517DDA526E9CD768C209B3E9DBE8910DC5 |
|
CONTENT
ssdeep
|
192:QoroBYJ5J9T/UL0pVzonmnW6yaxXHp0ku9cuGRmKbMpBXp7sfgg8gk:QkogY4pVz0P6dxXp/smMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fef8958a95a2c588 |
|
VISUAL
aHash
|
ff818181999181ff |
|
VISUAL
dHash
|
4515313171715555 |
|
VISUAL
wHash
|
ff818181999981ff |
|
VISUAL
colorHash
|
39012000200 |
|
VISUAL
cropResistant
|
4515313171715555,053131313171b1d5 |
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 490 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.