Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8D34CFBD3C8A9A5B01357D8F25172165A17187DF70AC7C8CA6841B1B3C2C9948BBAF1 |
|
CONTENT
ssdeep
|
768:IiW2p6kuzS5WdK/J0FfqulICNQDfCKlgSliSsV6as6iaK6VOXVhhzHv3SownXEMp:myyICNQ6AVXVhhzHv3STZvgUf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83966c3c3992d6e6 |
|
VISUAL
aHash
|
00277e7e03002000 |
|
VISUAL
dHash
|
34cdccdcdec8c0c0 |
|
VISUAL
wHash
|
06777f7f073c3800 |
|
VISUAL
colorHash
|
30000000180 |
|
VISUAL
cropResistant
|
34cdccdcdec8c0c0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.