Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181C200177288EE210F9710FFEB65BAA6250D501EF334C95212E7995F77C8CE8A211B9C |
|
CONTENT
ssdeep
|
768:lrjD9N8lor78NBxRUbySwBM+9TrgfayWR1STYBEQQYD7aMyXfBUsk:lrwCkUrvBNk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f0de5ece4e0643c |
|
VISUAL
aHash
|
f30f0f3f1f3fffff |
|
VISUAL
dHash
|
e67afec6666e4e4a |
|
VISUAL
wHash
|
130f0f1f03073f2f |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
e67afec6666e4e4a |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)