Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBE34434D210FC77015321D0267A5B5AF5E48304CB638749B2F88B99AFFAC99ED36678 |
|
CONTENT
ssdeep
|
3072:JGjFheWPhY37ivLZoiZfm4fJ3hDADTSyzsKr/x17s72:TxDG07 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
843e3359e0676af8 |
|
VISUAL
aHash
|
011f17725810027f |
|
VISUAL
dHash
|
1734a4a6b2e1cacd |
|
VISUAL
wHash
|
031f377678180a7f |
|
VISUAL
colorHash
|
31601000000 |
|
VISUAL
cropResistant
|
1734a4a6b2e1cacd |
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 71 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.