Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182D143E0C455ED3B475785D9A7BA6B0B7791C34ACB02094093F893EF6BCAC60CB21999 |
|
CONTENT
ssdeep
|
96:TkkWz8B3eSTYOnXS2EtGyt7WKwvFHepXHHF2eVXrX/hY2ST5J:QkWz8BrMoEtGycO1/RXpub |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303f8fcf880f8f8 |
|
VISUAL
aHash
|
3f3f3f3f3fffffff |
|
VISUAL
dHash
|
cccdd8dcc020c000 |
|
VISUAL
wHash
|
3f273f3f3f000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
cccdd8dcc020c000,f382b496b6b482f3,00200c7071710e20 |
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)