Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDD2AA31A114AA3742A7D1CA73E1572E62E3434FF7860511A2FD87ED0BE7D14EA2721E |
|
CONTENT
ssdeep
|
768:xeMjZGrZ5XC0LaE5mWHrrxt77sOy2+y9BH4crIe:fZ50p5mW3377sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b430bd3ccdc5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
94ccc4d0c88c8c00 |
|
VISUAL
wHash
|
027c7c304044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,94ccccd0c8c88c8c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)