Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3F3E624A5B86B23517B83C7F4AB1316F6F1419EA10D0C70736CCBE95BAAC55A1F3C89 |
|
CONTENT
ssdeep
|
1536:nFP3UTHUDqzrR/mPVIJzt1NPzIJzt17ozIJztWnrzIJztRUAzIJztPgeOQfoevM/:nl3TDqoevLXspMug98nKd0+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999967243c99c5e6 |
|
VISUAL
aHash
|
022c7c1c5c060000 |
|
VISUAL
dHash
|
9adafad8b48cd10c |
|
VISUAL
wHash
|
0a6a7e1e5c06ff84 |
|
VISUAL
colorHash
|
38201000180 |
|
VISUAL
cropResistant
|
c0c0c0e0e1e177ef,9adafad8b48cd10c |
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 252 techniques to evade detection by security scanners and make reverse engineering more difficult.