Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7528C32E46975732183EFC97778A646AFC98600CF66520457E7C36A7ACEC8BCC76250 |
|
CONTENT
ssdeep
|
192:v14nsjQaH5NXLbp850K7HZ7fMbSej3LYmdbz3Pj+f6y/Fx0/4oyQY/04iCkWKa6W:v1J8qzeX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
941c6c7969c9b5b4 |
|
VISUAL
aHash
|
18187e7e7e7e7e7e |
|
VISUAL
dHash
|
31e0ece8e8c8e8e8 |
|
VISUAL
wHash
|
18187e187e7e5a5a |
|
VISUAL
colorHash
|
30400010040 |
|
VISUAL
cropResistant
|
31e0ece8e8c8e8e8 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.