Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126F1D171E144840B6212C6A4FAB1FE8A3B86D345E74B0750F7F0A339BDCADE44D556AC |
|
CONTENT
ssdeep
|
96:XOwvf38IQV+VTqyVzAdJPTzMJPdvtL3SrMkgsC9TYYgsL4nHjiFP:jn38zQV5AdJPnMJPhtLtCH2FP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e06e5cc9879d970 |
|
VISUAL
aHash
|
ff001c1c3c1c00ff |
|
VISUAL
dHash
|
6d6d697969791f29 |
|
VISUAL
wHash
|
ff001c3c3c1c81ff |
|
VISUAL
colorHash
|
020000000f0 |
|
VISUAL
cropResistant
|
6d6d697969791f29,22534cccfcfcc3c3,6d6d69716979391f |
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.