Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B026C303069A43BA1A7C5A0F2BADB862085CB69C3030525ECF8478D75E6E65CDA53ED |
|
CONTENT
ssdeep
|
192:1fWWCGkIraNUSXIXp6rYt0VXX6ZdQmdHS4vWSEbj:1fWWZkIr6USXIXp6U8n6btFGj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca3d91663699b466 |
|
VISUAL
aHash
|
7c787c7c7c78787c |
|
VISUAL
dHash
|
d9f9e9e9e9c9c9d9 |
|
VISUAL
wHash
|
7878787878787878 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
d9f9e9e9e9c9c9d9 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)