Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DD2A632A0103A3F029793CDBB12F75E97D39249D646180686FD87AF1BEBF90DA13516 |
|
CONTENT
ssdeep
|
768:wAy5NG61eP8uiUXFv9eHHRw7Oxn7sOy2+y9BH4crIe:M1eP2UOHxIo7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f82ecc2c85c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0848ccc0c80c0f00 |
|
VISUAL
wHash
|
00ece4203c06ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,9408ccc0c0cccc0f |
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.