Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3B23E70E200AD3290C3C4E262F15B6F32B1C342EA57168593F5836EAFC2EE9CF11695 |
|
CONTENT
ssdeep
|
384:hIIY0B4htg5beNy5prELbdMosRBeyFzo9rW2XEnj:hIIY0B4f4bqHdM5R0r1Cj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83eabcd898cac3e8 |
|
VISUAL
aHash
|
ff00202d052f070f |
|
VISUAL
dHash
|
2be7cdc9c9cdffff |
|
VISUAL
wHash
|
ff00212f0f3f070f |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
006b332b6b6300cf,004422c8c8c92000,bfc7c9e9cdcdffff |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)