Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121C28631B210263F4197C3C9B752F76AA2E35249DA86080553FD836D4FD7E61EE3362A |
|
CONTENT
ssdeep
|
768:KSzy5NzkO32F8Jc8VGBf7eLv7sOy2+y9BH4cLIe:ZyOBf677sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361e53a963e39c1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c2d3e8cd19c500 |
|
VISUAL
wHash
|
60fb60340401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c400a00158d88000,c8c2c3c2cdc919c2 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.