Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122F2C61191786533417B87D9F7603F6E6297FA4EC85810B8B3AEC7702BE2DE4F806199 |
|
CONTENT
ssdeep
|
768:pLp8P8t8VNrU6F7ja2AIfTiyfn//G5a1l:4rUq7ja2AIfTr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f16e0e587e0f087 |
|
VISUAL
aHash
|
ff00042c3ffbfbff |
|
VISUAL
dHash
|
516a2d55522b2b23 |
|
VISUAL
wHash
|
3c00000c3febdbff |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
516a2d55522b2b23 |
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 61 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.
Pages with identical visual appearance (based on perceptual hash)