Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1D133E1C114ED36431386D8BBF96B1B7692C348CF06094493F893AB9BCEC60DB66599 |
|
CONTENT
ssdeep
|
96:TkAvDjZzH0LKSTKKiEdt5UgYxcfwvFdeJXUHFGeRXoX/II4Y1STu1JR:QAvDjZzH0LHLiEdTUgYqx6PiX0n61r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3e77138f0fe8101 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
9a5a5a7e3a1a9a9a |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
16c00010000 |
|
VISUAL
cropResistant
|
c0f8d8d0a0a0a0a0,0080c0c98ce63158,21e80c0c369286e0 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.