Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0D154E0C451ED3B471385D9A7FA6B0B7391C349CB06194493F893EF5BCACA0CA2299D |
|
CONTENT
ssdeep
|
96:Tk6Wz8B3eSTYOnTSZtGyt7KJwvFPeBX/HFveZ3X1IX/EDgY2ST5J:Q6Wz8BrM3tGyAz9EsX8cub |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303f8fcf880f8f8 |
|
VISUAL
aHash
|
3f3f3f3f3fffffff |
|
VISUAL
dHash
|
cccddcd8d020c000 |
|
VISUAL
wHash
|
3f273f2f3f000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
cccddcd8d020c000,7136080000000000 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)