Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CE2327412415AB75687D2E0B6A0EB1EF2A9D389CA27D649F3F8C34A6BC7C01CD51374 |
|
CONTENT
ssdeep
|
384:d3V3MdE9MbXRiP9n9ovF1ooTj2cmrNFn6f9ZmkEfHewgmxUpYN9MhqGqPEY7YOA:d3VcdE9MbXR09n9WFhTKRBtMhqGqPEmc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a995d638213fc687 |
|
VISUAL
aHash
|
ffffffc381818180 |
|
VISUAL
dHash
|
6897cc1f1b2b2b07 |
|
VISUAL
wHash
|
ffffffc381810000 |
|
VISUAL
colorHash
|
13008000e00 |
|
VISUAL
cropResistant
|
6897cc1f1b2b2b07,365757574f431f0e |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)