Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190B2EEB76028A95B52521FC477D0AE29B943E10ACC82B1FCD6F781D958F0E93BC4D61E |
|
CONTENT
ssdeep
|
192:dnyzlHKGUMDLS/Qxt4bDydTG3XTnAYWeWQv8SZuzUxojlXYGYql+r:dnoNbUM/6UtMm1YLaefZuzblX3ho |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8080dd2b02d57f7f |
|
VISUAL
aHash
|
7f7f7f7f0000ffff |
|
VISUAL
dHash
|
c0c080c089890008 |
|
VISUAL
wHash
|
3c7c7f000000fcfc |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
c0c080c089890008 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)