Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AD20AA13185723B06934286A5993BCFE3D1609DD76105A060DEC24E6AC3CFEDEF7993 |
|
CONTENT
ssdeep
|
768:BFz447EZ/+6vLr9DOjfRb9C7j+YUfD9iv2:P447wX9DOdUePDkv2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4b72d19b0a50de7 |
|
VISUAL
aHash
|
02667e7e7e187800 |
|
VISUAL
dHash
|
96ccccccccf0d0c0 |
|
VISUAL
wHash
|
42667e7e7e187c10 |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
96ccccccccf0d0c0 |
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 951 techniques to evade detection by security scanners and make reverse engineering more difficult.