Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8234A726332B97843DBA2DEF7382A46B2D2588EF8C74554F1C95A8D13C3C802597BB4 |
|
CONTENT
ssdeep
|
768:aEbE+EsZx8/G85Q4sDawlMJBpw2MJBHwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:aEbE+EsZ/85zsDawlMJBpw2MJBHwZUX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba2ecd3ac1e39285 |
|
VISUAL
aHash
|
81818d858585ffff |
|
VISUAL
dHash
|
61696d4d4d4d2d02 |
|
VISUAL
wHash
|
818185858585ffff |
|
VISUAL
colorHash
|
06c08000000 |
|
VISUAL
cropResistant
|
61696d4d4d4d2d02,04aa2acae478dc26,8492928082c0e8ec,d8d27ddcb434989b,91d3ada1a1a31606,99a889b8f889a8b1,40606ccc8c8ccc6c |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.