Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDA47D75838232EADFBDBB006664655E2336385600F209CF4B674CCE4A15EFAD9B81DD |
|
CONTENT
ssdeep
|
6144:kAhi5JLGZvsUnUhDT1RGOa6Fik5ALKlWg/ie4awZANvYh:rYG1Ul1RGOa6FHln7vG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c143aebcd998a6c6 |
|
VISUAL
aHash
|
ff0000000000ffff |
|
VISUAL
dHash
|
30c0c49290243767 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
33000038000 |
|
VISUAL
cropResistant
|
0000c0c5c5c00400,086435636c866667,10c0c0c092920090 |
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 921 techniques to evade detection by security scanners and make reverse engineering more difficult.