Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C837DE97990B0D0A51383F290AF7416733F603F6D2DCA20E794ED8974A642D949BFC6 |
|
CONTENT
ssdeep
|
768:RTfpUC+dLz3VL3Mru9KTY+KkNeJ2sSvmHhn/L3QnuLmYXgtFPWv+p4yTMHeIv6Rc:4FLVKmJxmAXgtF+ryTDqQQZ5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81ff04ee3330ccce |
|
VISUAL
aHash
|
fdffcfc7cf7f3f3e |
|
VISUAL
dHash
|
1100189e9c80d0c4 |
|
VISUAL
wHash
|
b8fece46463e1e02 |
|
VISUAL
colorHash
|
07007400000 |
|
VISUAL
cropResistant
|
1100189c9c80d0c4 |
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 1925 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.