Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111229533A140D5264FE741EDE7C4F6BD635BE258F330489662A4D02FAAC0CFA82553AD |
|
CONTENT
ssdeep
|
192:2kb1Gd4J9TIm44bxJXdvcfMmUU8VCotEs:sg9u4bxJKfMmUFCoSs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c6c7e72c90c3 |
|
VISUAL
aHash
|
d7c7cbc3e7cfc3c3 |
|
VISUAL
dHash
|
2f3f37170f3e272e |
|
VISUAL
wHash
|
c383c383c3cfc3c3 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
2f3f37170f3e272e |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.