Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BF28531A251AE3B44A7D2E5E3B5632F21D6938AC907034483FC87BD0AFADC5FD26594 |
|
CONTENT
ssdeep
|
768:gQZQxarxsjlTDIDD9qHlRiam6xwL5BNz7ddL6sNwkfhz:g2QvlTDIDGGdL6g5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9eaa41eadd69c12a |
|
VISUAL
aHash
|
f9ffdf9f9fff0000 |
|
VISUAL
dHash
|
2b7c3d392d4d27c0 |
|
VISUAL
wHash
|
b91f0f8f8ce000fe |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
2b383d39392d4d07,0707060202c0d0c4,0000004448000000 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)