Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110D3A4D55618038CA15BCABDFF2FFE05131FB19ABA5486802A4EC26895CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:8e0RQ7Hm7mfL0aheGo1M/GPOhAlFsR8MLqcvXFsR8MLqcMWR:Z0RQ7HUNa4GmkGJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b992c5c69393c393 |
|
VISUAL
aHash
|
ff81838b83818181 |
|
VISUAL
dHash
|
27231b1f3b2b2b2b |
|
VISUAL
wHash
|
ffc383cf8f818181 |
|
VISUAL
colorHash
|
1ec00600000 |
|
VISUAL
cropResistant
|
27231b1f3b2b2b2b,fef9b1e1f1a7e4e9,7430383c3cbc9cad,039a9a9adaca3898 |
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 148 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)