Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE0211726544AEB70183E3E6E771E72F7686D349CA932782A2F8D74D0FC6C9ACC51214 |
|
CONTENT
ssdeep
|
96:U/8bPz7CvH0g8hnOUVQHBO4vRl0vTfbBvlPXmRJoTBkgI5tTOyJxypP3A+2:U/eGPynOS4vRldRJoT7wxgm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c3c361616d3c3c |
|
VISUAL
aHash
|
003c3c0000000000 |
|
VISUAL
dHash
|
4069611640000000 |
|
VISUAL
wHash
|
7f7f7f7f00000000 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
6a93924b9304c040,4069611640000000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.