Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C231BF1A31492FB658B8FF9F130AE9D756F10DDAA53491C83EA86D057D1E88CE489C0 |
|
CONTENT
ssdeep
|
768:waxmSCMsqYgVD/rieXQZ57Q76iGPJGpHA5gZc91miFd:TxmSCMsqF5ieX257Q76iGPJGpHA5gZc5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6644e8e9b993931 |
|
VISUAL
aHash
|
f7e3c3e7ffffe700 |
|
VISUAL
dHash
|
0686861e0c0e0c4d |
|
VISUAL
wHash
|
c3c3c3c3c7e7c700 |
|
VISUAL
colorHash
|
07031000040 |
|
VISUAL
cropResistant
|
0686861e0c0e0c4d,8296a6b5b3367a7a |
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 346 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)