Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D831BE30502A4C26AA93D9EC72E5560B36D5C213CF83260153F8C39E59DBE91CE6A3D5 |
|
CONTENT
ssdeep
|
24:n/CExWUhs4hjXB9WhYwgJYSXxF4OadIMwN9uuyHHcoQ7uxPoYSeu72lS:nJWUPho1kRFLayjHc85+Pq2U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666699cc6633 |
|
VISUAL
aHash
|
0000181818001800 |
|
VISUAL
dHash
|
100cb2b228283000 |
|
VISUAL
wHash
|
0c0c3c3c2c3c3c3c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
100cb2b228283000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)