Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED83A4F8527287F68183DBF4B6A2FF6B2198531CD663E60957EC45663BCBC848C047A4 |
|
CONTENT
ssdeep
|
1536:g5IP5rJmWSYZMZ2RZM/RMZzJeuCbZb28yze21gwqZSVZ22mWSYZMZ2RZM/RMZzJ9:gmZJmWSYucRm/RMpJeuCb48yz51gwq4d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc9e4760f89ec541 |
|
VISUAL
aHash
|
5800bfffc3000000 |
|
VISUAL
dHash
|
b2b2622bb2922910 |
|
VISUAL
wHash
|
fe00ffffc3da0000 |
|
VISUAL
colorHash
|
30001000018 |
|
VISUAL
cropResistant
|
b8bce1fae6868f95,6a6c176766161464,b2b2622bb2922910 |
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 5990 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)