Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10643E6206212B3AA5C334F74F34A74A7C1DE8384FAD6782CB699925170D3179C78BDB9 |
|
CONTENT
ssdeep
|
1536:kmc0wA3ins+qIBfo3E4txyhSPq8Z7U1c/jDeYJ7wnOeD:5OYJ7Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc33338ccc |
|
VISUAL
aHash
|
efefc7c7c7ffffff |
|
VISUAL
dHash
|
591e9d9d9c000860 |
|
VISUAL
wHash
|
00030303043cfc9c |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
591e9d9d9c000860,94f971f47933e4e4 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)