Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136D12FE0C414ED37435386C9ABF16B0BB3D1C349DF42094093F883AB5BCAC60DA655A9 |
|
CONTENT
ssdeep
|
96:TkotSzeFvMSZuSTCctutQ7SS8lWUCFgaXjNwvFUeyQXqz/JWvNYfYfGJ:QotSzeFdNWcktQwWtKkzcvNsuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c89c3ec0c3be9ab2 |
|
VISUAL
aHash
|
ff18187c7c7c0000 |
|
VISUAL
dHash
|
32b231e9c9e832cd |
|
VISUAL
wHash
|
ff181c7cfcff0000 |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
0000000000000000,adaa6a6a52528d8d,5a9ae2a686b2b29a,b232b1c9c9e832c9 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.