Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182E1F1F0C055ED3B4363C5D5E7B56B1B7695C349CB020E4853F853AB6BCACA0CA229A9 |
|
CONTENT
ssdeep
|
96:Tk3H7QzH0XmeGnVx+ZtGAFO+XaHFQCuPPqXpz/uYAVxUZ8Q2R:Q3H7QzH0XunctGNCyz2RG8QM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7476d6d93931192 |
|
VISUAL
aHash
|
00003c3c3c00ffff |
|
VISUAL
dHash
|
6222696969164000 |
|
VISUAL
wHash
|
00427c7c3c00ffff |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
6262696969964000,e8968e2a322aaad4,2aac8c0d88ac2724,d4ce6262a6622e96 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)