Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CE20773111C593F1B435AC8B2E12B4DA083424FEDA664D4B2EE57F167C9DF1AC0A93A |
|
CONTENT
ssdeep
|
768:w+jyevMpFzQG/ZDSrvVw/OOoQH9nkOb/n0kJYfKvIIqt0aielyb8sInYvI5FIzdO:wKygvV9CvIIYZsIGITIuIP/8+c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf8f529a40ee68e0 |
|
VISUAL
aHash
|
bf0f030b0f0f9f00 |
|
VISUAL
dHash
|
7b5e5353533e7882 |
|
VISUAL
wHash
|
bf0f030b4f8f9f00 |
|
VISUAL
colorHash
|
07c00008008 |
|
VISUAL
cropResistant
|
7b5c5353533e3a68,fef0f6f6d6e6871e,01616913c9c91301,006093ccf4940340,205b04a6a3500380 |
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 715 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)