Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C593B8B29251683360BBA2D5F1347719E2D3D34BC68247E1B2F8A36B1EDACA1FC13455 |
|
CONTENT
ssdeep
|
1536:Np2XWnzvrg4IA6hm2O9m28CRL6wFUtJn1IdmMiEcEOS:r2XWzE4N1bUtJn1IdmM5cEOS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6166751999c9c6c |
|
VISUAL
aHash
|
66e7d3dfc3c3e3c3 |
|
VISUAL
dHash
|
cc4da63096122e0e |
|
VISUAL
wHash
|
0264d3dfc3c3c3c3 |
|
VISUAL
colorHash
|
070010082c0 |
|
VISUAL
cropResistant
|
cc4da63096122e0e,3737276547062626 |
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)