Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1425161B3902DB8232B22DADCF8F0D30EE553C68EC6846DC8E1E9C11E65C0EF9D844259 |
|
CONTENT
ssdeep
|
48:lmIT+W1nIGNcIjj1sPCNRjjIfwXwdPzuv5X0WrY6b0dtQkIVT89bxLxRHeozAFy7:15bnJMPzuByLC7V499tkozgyPAeP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3336464319b6575 |
|
VISUAL
aHash
|
c3efededc7c3ffff |
|
VISUAL
dHash
|
860929699c062800 |
|
VISUAL
wHash
|
c0fcfcfcc4e0c0c0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
860929699c062800,0141919191610101 |
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)