Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169121F7032026ABB01E7CAF5F6A17F6EA2ADC75CCA57839662E4C3894FD6D51CD40206 |
|
CONTENT
ssdeep
|
192:qEx2XkGstc8TINpW11K3Kpm77KIO5yJkTkDU3V3kcwzNS1/g1z:qi2XkGUcKIPjKIPlO54kTkAtszNS1Y1z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0e81f3e9c0f1ee0 |
|
VISUAL
aHash
|
dcf8f8f0f8000040 |
|
VISUAL
dHash
|
b08391839340c898 |
|
VISUAL
wHash
|
fcf9f9f1f9004048 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
a28064735b8080a2,b08391839340c898 |
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 227 techniques to evade detection by security scanners and make reverse engineering more difficult.