Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8F2A69B214856E5C1F38FE8D81029507142EA9FC9718370C2BC4D3A6BE25A5B78DF7E |
|
CONTENT
ssdeep
|
384:27WhWTWaeMIGyP9bd01pnFpBiCVVxqIyHzbO0vsFiYK/M74UZh3gl4oyS3SWo144:s17nC5ThscY7UUjJov3SWjjBI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2a55af22d587289 |
|
VISUAL
aHash
|
e7ffe7e7ffe4fc00 |
|
VISUAL
dHash
|
0e080c14080d3109 |
|
VISUAL
wHash
|
03e7e7c7ffe40000 |
|
VISUAL
colorHash
|
070000300c0 |
|
VISUAL
cropResistant
|
0e080c14080d3109 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)