Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E241B737248453B03E30ED0E2B92F8A7776A381EA071142E5E483553EF6D54ECDA6E9 |
|
CONTENT
ssdeep
|
1536:f1BRgGzBLlWn8bWHcQim/U+OUP9z/DWW9IUIyF8+AxpyS6H5VTpWXG1NsXqlnX64:Pm18YBca7Oe7UHDFA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa23150c5e35716b |
|
VISUAL
aHash
|
00ffe1a5b9fffffe |
|
VISUAL
dHash
|
8e29095d6109555c |
|
VISUAL
wHash
|
00e5e18181fdbdee |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
9e09095d6109155c,006196969e966281 |
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 130 techniques to evade detection by security scanners and make reverse engineering more difficult.