Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDB23E21A884DC1601DFADC8A5B35A3A21FA4385C21225D8FE76D7FA57AECBDC773140 |
|
CONTENT
ssdeep
|
384:Kgd/sJO5xVZjqTSH44Q345bbiWzroUa87x:KgxsIx/jf44w4hmWgUf7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
998363652787c6c7 |
|
VISUAL
aHash
|
24083c1c1c181800 |
|
VISUAL
dHash
|
4cb0713032303108 |
|
VISUAL
wHash
|
2e1cbc9fbe9c9c00 |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
4cb0713032303108 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.