Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7C2A3B071529D3B056391D8B7E9AB2623E29385CA01134193FE8BBE07F6CA5FD23954 |
|
CONTENT
ssdeep
|
192:4yw6LM6lw6zzaiw6najbtrIPXpUgDwZ8scqkaHkdKssp4Z0kPGzUU44QlXQKpfu/:jjxnantFgEZVcqk/WeQQlXQKpfsJgeEQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e63c319934e696 |
|
VISUAL
aHash
|
0670746c6c60003c |
|
VISUAL
dHash
|
d4c1ccc9d9c66861 |
|
VISUAL
wHash
|
76707c7c7c60303d |
|
VISUAL
colorHash
|
00000000180 |
|
VISUAL
cropResistant
|
d4c1ccc9d9c66861 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.