Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180D31BFAE3C8A9A6F01357D4F250B25556171879F74AC7C8CAA845F0B3C7C98487BAB0 |
|
CONTENT
ssdeep
|
768:/iW2p6kuwS5Wd+/J0FfsuUI8NQDfCKlgSliSsV6as6iaK6VOcAssOiaSbBwnXEMx:wIvI8NQ6AVcAssOiaSb0Z9g6f |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)