Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB43D8B217491EFE10C783E0B722773673A963E5E56F820682F847255B8BD4ADC735A0 |
|
CONTENT
ssdeep
|
384:+rhb8fgbnziNBXELiy/Y+nPacLLmC4mGHXISBhq8t8DDOmQpvqYtZ:slbnzsZELk+CuL63HX38umQpiQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce9334743696963c |
|
VISUAL
aHash
|
66383c3c30383000 |
|
VISUAL
dHash
|
c4f06969e0e0e0e0 |
|
VISUAL
wHash
|
7e78fc7c78783800 |
|
VISUAL
colorHash
|
38001600040 |
|
VISUAL
cropResistant
|
c4f06969e0e0e0e0 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)