Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E234A726236B4B843DFA1DDF7382E46A2C2998DE9C74690F5C95ACD13C3C8462877B4 |
|
CONTENT
ssdeep
|
1536:af+2+EsZ/8vDfOQbDawZMDB6wFMDB382+/9dtyDieMvdhf/q42Ywmw7:auNvwzw6820D0jMP5G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff81a1a18181ffff |
|
VISUAL
dHash
|
4d4d6d4d63710c00 |
|
VISUAL
wHash
|
ff8081818081ffff |
|
VISUAL
colorHash
|
07238008000 |
|
VISUAL
cropResistant
|
4d4d6d4d63710c00,cecc4cccbabe7260,40d2d29bafc6dac0,ecf1f151754c8806,ffffffd6c6fedfdf |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)