Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13113A432E0807437452B9EE6B5B5EB1A77E3834DCA530418E6FCC3C52FE6D50CA1666A |
|
CONTENT
ssdeep
|
768:19II7GgQrnnggQvGKBcQszYU6t/BsFhZzwagQLFPNC+5AMe3OD1gQ/GBkex0AG+J:19IIK76szR6t/CFI+PNCaahJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363ea983d159c6c |
|
VISUAL
aHash
|
0000000207ffffff |
|
VISUAL
dHash
|
98c9c8dadef8fcf3 |
|
VISUAL
wHash
|
0040000e0fffffff |
|
VISUAL
colorHash
|
182000c0001 |
|
VISUAL
cropResistant
|
3a32566646549b1b,341cf1f8f0f8cbf0,98c9c8dadef8fcf3,414d713333454541 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)