Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FB1C27382D6E12A2332E6CAB0B4B72CD2E3006DDF525975E6B9075E49CDDA1B04358B |
|
CONTENT
ssdeep
|
96:aOnNcbhDj6h2jshdjKhojIhvjahbOjEh5dYqFrS1CIv2J3q4FfweWe:aOnNcbd6ws3KKIxa5uE1xuqweX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2cb3b3a6c647232 |
|
VISUAL
aHash
|
3c3c7c380c3c3c3c |
|
VISUAL
dHash
|
d9d8e8e4e8e8e8e8 |
|
VISUAL
wHash
|
3c3c7c7c0c3c3c3c |
|
VISUAL
colorHash
|
31603000000 |
|
VISUAL
cropResistant
|
d9d8e8e4e8e8e8e8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)