Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7326437B0489A250EA793EDEFC4B698655EC359F330849262F9403F6E40DFC656239D |
|
CONTENT
ssdeep
|
192:wwod0hXciHXqHBtzHZHGHP/hlGdHZWHv5HXzgifMmUU8VCox6u:wfCX3XGBtzliP5UZZSvFXzgifMmUFCoB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f393c39398c35c8 |
|
VISUAL
aHash
|
0f0f0f0f0f0f1f0f |
|
VISUAL
dHash
|
387878785858787c |
|
VISUAL
wHash
|
0f0f0f0f0f0f1f07 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
387878785858787c |
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.