Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8234AB26722B8B883DB91DEE7382D55B2D1989DF8C74414F1C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:asEi/+EsZx8/G8r46Daw2M5B4wYM5BRwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqD4:a0+EsZ/8E6Daw2M5B4wYM5BRweN2/y9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba6b6e3ac5c59490 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
71711d1731353535 |
|
VISUAL
wHash
|
0000c3c3df879fdf |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
71711d1731353535,00100c32b2320c20 |
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.