Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167820A37B084852E4EAB61FDFA88B255A55D924AF330C54269F8813FEF41EEC782535C |
|
CONTENT
ssdeep
|
384:Fp1pWpaEFjHyoBxeNMhzV7SaFqrPnAunXLIogF7xPjZJD2NyhefMmUFCoMw:fSyoBxg8zV7SaFqrnAunXLIogF7xPjZj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b636c3c92606cdd9 |
|
VISUAL
aHash
|
0707070787ffffff |
|
VISUAL
dHash
|
6d3d3d2d3e323e36 |
|
VISUAL
wHash
|
0707070703879fff |
|
VISUAL
colorHash
|
17e00008000 |
|
VISUAL
cropResistant
|
6d3d3d2d3e323e36,ccac93c9a9bec1b0,6810888a9a9a9a5a |
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.