Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198F39739E3000731D65B03C8D7E5BA1A002C41CB5565A9D9F73321B2EB9ECED6C77A9A |
|
CONTENT
ssdeep
|
3072:g12/KNJNINyN2AOeEBhXdLidNTIkRFbvuq2Nv0MMMR5Y:g12/Dn1v0MMMR5Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3d23cbcc3b292c9 |
|
VISUAL
aHash
|
66007e6cfb830000 |
|
VISUAL
dHash
|
ccced8ccd2060717 |
|
VISUAL
wHash
|
6e60fee6ff830101 |
|
VISUAL
colorHash
|
38000200038 |
|
VISUAL
cropResistant
|
ccced8ccd2060717 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.