Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157554D33F7220401B779D6C4F1ABDBA93242675AD64109B9B6D8C736F4DD13334A0BAA |
|
CONTENT
ssdeep
|
6144:3vpqZzwtTjLvYTLQQve+qqu4lEg6TgxJ/pJ6BrRkdl4vBhqWzUPQmjrM4:/UPQmjrM4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a719b20758a75 |
|
VISUAL
aHash
|
e7ffc3c3c3ffc3c3 |
|
VISUAL
dHash
|
96968e8e96088e96 |
|
VISUAL
wHash
|
c3c3c3c3c3e3c2c3 |
|
VISUAL
colorHash
|
06000c00200 |
|
VISUAL
cropResistant
|
96968e8e96088e96,565656291b56565f,91c9ad52d26babad |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)