Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7C2C73112182A3DB517C7D4FBA53739116E9389E20F506CE46C02B66B83DA9EC7B7D8 |
|
CONTENT
ssdeep
|
192:qduEinugHPfhpo95Ve4STH3p+qb3dsXMoLbOmFAoLbRYLbGfnoKsWt0czb/X24Yj:qDFgvvC2b3oXtPXaXGQqrx+16KAHSD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4339b64ce9b6c31 |
|
VISUAL
aHash
|
bf47cfffc3f3ffff |
|
VISUAL
dHash
|
6f9c9c6186263926 |
|
VISUAL
wHash
|
9f0704f702f0a0ff |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
6f9c9c6186263926,ff3fc7e737e77fff,7f9fbfcfcff2b3df |
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.