Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B73E88A6495602A073340E348BB1B99B7795C3FF9290591A4B8C7F672ECCF13167B4B |
|
CONTENT
ssdeep
|
768:tyWu5PuyW/scNwG9MX/H5tR5SL/u/1fQ8n+zCDFnX8UvjiH1e9tSwCergc0URhCz:JVKyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b16c4d4ede869386 |
|
VISUAL
aHash
|
0081e7e7e7c7e7ef |
|
VISUAL
dHash
|
09171c0c0e1e0c1c |
|
VISUAL
wHash
|
0081c7c7c7c3c7cf |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
09171c0c0e1e0c1c |
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 700 techniques to evade detection by security scanners and make reverse engineering more difficult.