Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161820E758180AD7B04DBE6E497306B1BA3C0D286CD634B4A63F6C34DAFEBE95CC42615 |
|
CONTENT
ssdeep
|
384:yHgkHg3oG8j2TkBP5ag9btP5yA7JUXUAUn+Dr+wJHlZS/dVgR:1H3jw2TmP0g9bZkAlUXUAUO6wfE8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b651e953e518b61a |
|
VISUAL
aHash
|
00000626262600ff |
|
VISUAL
dHash
|
da2ccccccccc0107 |
|
VISUAL
wHash
|
6e00467e767600ff |
|
VISUAL
colorHash
|
31000000e40 |
|
VISUAL
cropResistant
|
aa4d4d3b3b3b4d8e,4c2d8ccececc2d4c,05875b37964e2512,d8248ccccccc0407 |
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 89 techniques to evade detection by security scanners and make reverse engineering more difficult.