Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164034534D266062ED52783C4A630537D32AB918DF6455128CBFD8AB973E9CC9EC23DD8 |
|
CONTENT
ssdeep
|
384:SxRKElWFLi/7FlfGFjF57FlfMEFKFo7FlfuFeFB7FlfmF2FTYzT:g7lMLah5cp5h5My4oh5k0Bh58s8T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b247cd38cc3331c7 |
|
VISUAL
aHash
|
dfefc7c7c7c7cfff |
|
VISUAL
dHash
|
3b8b8b8f8d9d9ca0 |
|
VISUAL
wHash
|
03434143c7c7c7df |
|
VISUAL
colorHash
|
0624a000000 |
|
VISUAL
cropResistant
|
3b8b8b8f8d9d9ca0,f0b07270a4ac8cb8,8484a2a362e26653 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.