Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1234A726332B86883DB92DEA7382D46B2D6589DE8C74514F5C99ACD23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:aOq+h+EsZx8/G8X4gDawTMmBXwDMmBx7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqT:aOq+h+EsZ/8ogDawTMmBXwDMmBx7UXxq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebc1d4d4d59494d1 |
|
VISUAL
aHash
|
ff81818181818181 |
|
VISUAL
dHash
|
41454d4d49554941 |
|
VISUAL
wHash
|
ffe1e1e1818181bd |
|
VISUAL
colorHash
|
39008000c00 |
|
VISUAL
cropResistant
|
41454d4d49554941,808ccc8c8b94d0c0 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.