Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A991733862401979B2079B74F991EF29744FD317EBA7A80DF3687AE433E6C68C907844 |
|
CONTENT
ssdeep
|
48:ET4QOvobP6WGqd8Nv5TGzAQMtQyTKH+2/7ZGzAQMtQNFXOix53rPIVHaatTVs0c9:U1jXd8NvF3TqZyFek3rQHzTVzb+3GA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d72738d6627998c |
|
VISUAL
aHash
|
001818183c3c0000 |
|
VISUAL
dHash
|
3030307032320e32 |
|
VISUAL
wHash
|
183c3c3e3f3f0703 |
|
VISUAL
colorHash
|
3000e000000 |
|
VISUAL
cropResistant
|
a200908c8c9080a2,3030307032320e32 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)