Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4235B726332B4B843DB92DEE7382E56B2C2989DF8C74554B1C99ACD13C3C912197BB4 |
|
CONTENT
ssdeep
|
768:ad+EsZx8/G8iu4MDawiM5B2wCM5BHwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvla:ad+EsZ/8iZMDawiM5B2wCM5BHweN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ae4bd13285d91c9d |
|
VISUAL
aHash
|
ff8191918181ffff |
|
VISUAL
dHash
|
69656567672d2d64 |
|
VISUAL
wHash
|
ff8181818180f7ff |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
69656567672d2d64,c564646565662e6c,e3c1c32520018081 |
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.