Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100F1FF715005293B021B9A84F4B5778B32E7E30ECE5B2940E3FDA3DE1BDEE25E940656 |
|
CONTENT
ssdeep
|
192:MxoTa5DI7sCYyc3hZd8XArEuExwB7P20Fi4KYQWeV0oh8ZhxO/XDh8NKeNme0h8q:wka5DgsCwhZdVrEuExwBjFi4KYQWeVpx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3bb4ad5af42b408 |
|
VISUAL
aHash
|
effffffffffe3000 |
|
VISUAL
dHash
|
4e584dcd7280e067 |
|
VISUAL
wHash
|
40e7e7e7ff7c0000 |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
4c4d4c4cb14698e1,0e4d8e966c4c4c2c,7148b2b2b2320c11,020204a4d9e26698 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)