Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13513A9B523041C7FD183C2E0F3A5776AE16DD1C9C6539248A2F88339ABCAC96DD56394 |
|
CONTENT
ssdeep
|
768:CcP2ddztW4zMLoKf5ztWaz2FCTKaLlepAN06UX9Q9:IF0KbQ9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9857207526dd8c77 |
|
VISUAL
aHash
|
001c3c3c04181819 |
|
VISUAL
dHash
|
3271717169327055 |
|
VISUAL
wHash
|
1a3c3c3c3c3c3c3d |
|
VISUAL
colorHash
|
30018000280 |
|
VISUAL
cropResistant
|
feffb6b38feffffe,3271717169327055 |
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.