Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AD1B6B399083B3405A6D254BBA2B24D73F48090D2421A5CE1ECD1BD85CBF5DE677AF1 |
|
CONTENT
ssdeep
|
96:TIwP5gHvwPkkwPrH1I/qMZtQaq5T+8iX0HYBfpQW9CE34slFQsu5KwKSvKm+31d:EHP2S83QN5iV04oW9COzDI5FDv6P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca5c2b57287c8a75 |
|
VISUAL
aHash
|
803c3c18247c0031 |
|
VISUAL
dHash
|
0378703648d10049 |
|
VISUAL
wHash
|
813c3cd8fc7c207d |
|
VISUAL
colorHash
|
38000000580 |
|
VISUAL
cropResistant
|
0378703648d10049 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)