Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DF2B435882D60EE633FEDC2C257201247BDE152362B79B2815E28FC16DBF29D65BC94 |
|
CONTENT
ssdeep
|
384:mMEqnXAdCvWlzKCs/YzcHfG9lPw9BVR9LXGSPd6FPRsLvgEiOv1Y05:mtlzrzwiY2+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
abd3240c9bbbcc4c |
|
VISUAL
aHash
|
0f071f0d3f130707 |
|
VISUAL
dHash
|
7fef6b69ebe79fff |
|
VISUAL
wHash
|
0f0f1f1f3f030707 |
|
VISUAL
colorHash
|
11000000190 |
|
VISUAL
cropResistant
|
29510b573d435359,7fef6b69ebe79fff |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)