Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140233276945048270643C2D4A7F12F4E238DD359CE1759DEB3E812898FCACE89FD826E |
|
CONTENT
ssdeep
|
384:YTMvzNZGsB/oSJpgYvrlB4zEpeEx7LsVDAWGnADTEvWYwZv3:YT6zNvwSJJvrkWGirv6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc93716c9b9a6c31 |
|
VISUAL
aHash
|
1800183c3c180000 |
|
VISUAL
dHash
|
f0e0f07930b43008 |
|
VISUAL
wHash
|
ff7e7e3e3c580000 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
f0e0f07930b43008 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)