Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEE2B771A1006F3B01A796C6B391AB5E63E2834FD34A041652FD832D4FE7E50E92776E |
|
CONTENT
ssdeep
|
768:1Qe91p7aSAxYLlAJ1GmYHPJ7sOy2+y9BH4crIe:v1NA0h7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d248f932ad6d94c9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
988cc0c2cc0cc300 |
|
VISUAL
wHash
|
006478302e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,988cc4c0c8cc3cc3 |
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.