Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB7376B0728206BB95D7C2E5BA656F2AA1DDC34FC6278C89F3E882875FC3C11ED05650 |
|
CONTENT
ssdeep
|
768:E9RVP5A8dvC/VY+bWyyifU3C2W/zlh3GDO3mqPfy845D15OlBHTZ7viJBJBse+f5:+C/V9lh3GDO3mqXy845D15OLHWKF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc917304ff11fc31 |
|
VISUAL
aHash
|
7e3c1c3c3c180081 |
|
VISUAL
dHash
|
d4f0f0f0e0b0c861 |
|
VISUAL
wHash
|
ff7e7c3c3c181081 |
|
VISUAL
colorHash
|
38206000000 |
|
VISUAL
cropResistant
|
d4f0f0f0e0b0c861 |
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 141 techniques to evade detection by security scanners and make reverse engineering more difficult.