Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CE2842041E79EB706B5C6D476F4AB0BF2C6A31ECB121A4277F4DB890EC5F59CC42866 |
|
CONTENT
ssdeep
|
384:Ou1zKT7xgOQXG8Nv19+B9rMceJj/uN83/uhFnSlvvniYEwF0awBP64kw6mAlwZOQ:sHHyxBf+BtMceJj/GbhFPAlwZOjEl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c3671d9639ec861 |
|
VISUAL
aHash
|
003c3434183c3c00 |
|
VISUAL
dHash
|
e0e4e4ecb2b0b0cc |
|
VISUAL
wHash
|
3c7e7e7e183c3c00 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
88292befefe489ac,88aa2be6cfe52988,e0e4e4ecb2b0b0cc |
Victim enters credentials into 1 fake form. Form data is captured via JavaScript or backend submission and transmitted to attacker's server for account compromise.
Malicious code is obfuscated using 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)