Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F8310325414B93740C7B5D8963597A7B2EA8348CA134B45F6F4C3AE5BEBC68DE33209 |
|
CONTENT
ssdeep
|
1536:aI5muz68PIUzqReeeQeeeveee4eeeylqBW0Oy/gesIx179F:aIjzq0qZweB7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b4da6649bb249a6 |
|
VISUAL
aHash
|
0000081c1c080f0f |
|
VISUAL
dHash
|
5b6639397979ac29 |
|
VISUAL
wHash
|
001f1c1c1c1cafff |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
a0d8daa233338880,a280a88e88969684,5b6639397979ac29,0201213232220101 |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.