Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F252837670123D3702079AD4BD587B5E32A7C29DC80A306447FDA3E42BFECA4B85B615 |
|
CONTENT
ssdeep
|
384:dLK8+8tz+ATkD+2gjq+Binfu5kidpGVP+QDe9:5Kithk9gjdiVl4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc6f96c2a9c0e8d0 |
|
VISUAL
aHash
|
ff808080c0e0dedf |
|
VISUAL
dHash
|
692a221312053434 |
|
VISUAL
wHash
|
ff80c080c8e0fedf |
|
VISUAL
colorHash
|
06600018000 |
|
VISUAL
cropResistant
|
692a221312053434,5a5226323215143c |
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 144 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)