Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134020E22544CE93B23235FD17492B704E2D6C6AECA431A10D6B8539D0FFBED2E44661B |
|
CONTENT
ssdeep
|
192:Xz+XJWuYMHfmTCuCgEhnvfeCfRtBdDfVe8LTjKkrfLjg1rfBj3rrffdv:Xz+XJWuRi3jqvGC5Fte8LTjKkrzjg1rv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6666cc5c763233 |
|
VISUAL
aHash
|
0018001818181800 |
|
VISUAL
dHash
|
62724cb2b2b2b24c |
|
VISUAL
wHash
|
0018efff3c3c3830 |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
e2a2e280333298ba,62724cb2b2b2b24c |
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 103 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)