Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19473DD7285A7953742ABB0D1E6361B5A73D7E34ACAD307A183F8835C0BDBE50EC63215 |
|
CONTENT
ssdeep
|
1536:Fweeefeee6eee1eeereeeueee1eeeXeUcehqbFey6LeeRPJaiWn:FJeU7kbA/LJRxaJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e00f36f40bf04ea7 |
|
VISUAL
aHash
|
0000185862fee747 |
|
VISUAL
dHash
|
b474a39296949c9c |
|
VISUAL
wHash
|
000079587bffe747 |
|
VISUAL
colorHash
|
30401008400 |
|
VISUAL
cropResistant
|
f8fcfcfdcdcefcf8,f276707266bcf8f0,1cdc3cd69c3cebc3,b474a39296949c9c |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.