Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5E1756B5042E82A56B2C6BCFAA0771CDE838686C3435E4591F48F6E6EC5FE1D40136E |
|
CONTENT
ssdeep
|
96:HvRPzQCvqYIOBs3IRJYIknxfZqrWTEIH8t6VtHZT4IA6IvoxVhFv1odu:Hp9ilqJ0vTL8tYHh9Hxiu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33399cc6666cc98 |
|
VISUAL
aHash
|
e7e7e7c3e7ffffff |
|
VISUAL
dHash
|
0c0c4c4d0c000800 |
|
VISUAL
wHash
|
c0c0c0c0c0fcfcfc |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
0c0c4c4d0c000800 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)