Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECF1A56149446C375193D2D2B7B2FB4BB3C6E20ACF920A46A3F893090FEAC54C95932C |
|
CONTENT
ssdeep
|
192:ZKlxdaBtTItH1xamliNoxVOUs+bKDK4jvyWaFkQ3+s:0x2FI51xamligbKDKSvyW0us |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1b34ecc4cce31b1 |
|
VISUAL
aHash
|
ffcfcfcfc7cfff00 |
|
VISUAL
dHash
|
64989d999e9e6106 |
|
VISUAL
wHash
|
fcccc4ccc0c4f000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
64989d999e9e9964,00c8808888000000,000081a696010000 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.