Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117A3CD33421965274437C2C5346A5B3BD1A6CA9FFAE70E014EDC8BFA6AF9CA0741B11D |
|
CONTENT
ssdeep
|
768:mZtpR4nXF6YjOpSpFlTC6rroCzpsoHTMTKe+Y42UVTX:mZtpR4nXBKpSpFl26v3eogTKe+Y426X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9313ed6d9812ce65 |
|
VISUAL
aHash
|
00003c2c0c2000ff |
|
VISUAL
dHash
|
524c69e968628694 |
|
VISUAL
wHash
|
003cbc7cbeb002ff |
|
VISUAL
colorHash
|
3a000640000 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,000010001200c86c,524469e97862e696 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.