Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A062C7339204B01A02A3C6D477626B7F73A4D29AE7071B646AEF432C67CBD55ED33648 |
|
CONTENT
ssdeep
|
192:xL/RfUqoxSCV4EjHiTc1RcWX/ykzF18eA0CA9jRKOkAjw8J2njdg8dPNvzddg8du:VJMvxfHYc1RcWKkzF19CAhyRk4b0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9ddc163266696cc |
|
VISUAL
aHash
|
f8f81c04183c603c |
|
VISUAL
dHash
|
f070706c71e9c2d0 |
|
VISUAL
wHash
|
f8fcbc0c183c607e |
|
VISUAL
colorHash
|
38007000080 |
|
VISUAL
cropResistant
|
f070706c71e9c2d0 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.