Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9D2E93171506A3741A7C1DA72A2A72AA3E3434FE7460515A3FD83AD4BF7D10DE3722A |
|
CONTENT
ssdeep
|
768:QeuQEtIShj65AoCbjR7sOy2+y9BH4crIe:6QsO5B8jR7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b434bd34e5c6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccc8c88c8c00 |
|
VISUAL
wHash
|
067c7c206004ffff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccccc0c8d88c8c |
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.