Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE334AB36721787D83CB81DEB7392E55B2C6A49DE8870450B1D86ADD23C3C927187BB4 |
|
CONTENT
ssdeep
|
1536:a3+EsZ/8HefSDTEe+wbMDBewAMDBwN2/y9dGoDF1sPnTA4IE3wtwH:aoLTwVwGN2aD3Hsqa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3cc3c3c383c3c3 |
|
VISUAL
aHash
|
ff818181c3ffffff |
|
VISUAL
dHash
|
2b33333b33000300 |
|
VISUAL
wHash
|
8100000081ffffff |
|
VISUAL
colorHash
|
0f007000000 |
|
VISUAL
cropResistant
|
2b33333b33000300,6f337333dcd8f26f |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.