Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181B165B24154983F0686C3D8AB26732F22D6E2EEEE430914B2ED879D47D7E91FD12454 |
|
CONTENT
ssdeep
|
48:TmKk93zabHh0peioQ7ELJjE4y8ecuGa2/gmz0c0W5qQC6IfHk+fNj+HaGL/xBI+o:TmXJpeioUUEeH/fz0NOqjrTj+PLOZ3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131cecece393131 |
|
VISUAL
aHash
|
f7c3cfc3f3ffffff |
|
VISUAL
dHash
|
041e9e160610040c |
|
VISUAL
wHash
|
c3c3c3c3033f3f03 |
|
VISUAL
colorHash
|
07000010003 |
|
VISUAL
cropResistant
|
041e9e160610040c,458b93172f5fbf3f |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)