Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1355343316515CA37029BA4C5A632272D63E98346C62306C5FBF987E9EBDEC6DDD33210 |
|
CONTENT
ssdeep
|
768:daclV1ALh6b8447ZS3Z4uGD9oAIisIx/jnzBIUf79F:Uc9Z/jAIisIxLzB379F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d6d929261ee4d |
|
VISUAL
aHash
|
8000206c3e6e4001 |
|
VISUAL
dHash
|
3118c8cce8cccc01 |
|
VISUAL
wHash
|
98087c7e7e7e6c01 |
|
VISUAL
colorHash
|
38600030000 |
|
VISUAL
cropResistant
|
e0c0911296a4c8f0,3118c8cce8cccc01 |
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 85 techniques to evade detection by security scanners and make reverse engineering more difficult.