Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CE308F5A3E8A2E8E80BC7F8E672A476316F30FF7F56C65851981D94F66108D884DC81 |
|
CONTENT
ssdeep
|
1536:w8ANd8P8PcMr/MuwWzZ0ueE++6Pc/Xy8ksKhY6d:9rdd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1643366329ecc9b |
|
VISUAL
aHash
|
c3c3c7c3c3c3c3c7 |
|
VISUAL
dHash
|
9696969696969e9a |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
9696969696969e9a,8280883030b08882,3369cc9c9c868ce8,0b1332314c25dada,92b0b0ab246e6e6c |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)