Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F234BB26322B4B843DB91DEE7382D46B2D6589DF8C74414F5C99ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a5+EsZx8/G8b4BDawsM5B3wCM5BawzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAn:a5+EsZ/80BDawsM5B3wCM5BaweN2/y9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3f85906ac4c5e2 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
6f4f4d4d1d000200 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
16000600018 |
|
VISUAL
cropResistant
|
6f4f4d4d1d000200,077f8f8eceec8c8c |
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.