Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C234A726732B8A843DB91EEF7393906B2D6589DF8C74450F5C95A8E23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:ai+EsZx8/G8S4qDaw4MJBYwxMJBUwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:ai+EsZ/8lqDaw4MJBYwxMJBUwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ffe0f085f0c0e195 |
|
VISUAL
aHash
|
bf81818181818181 |
|
VISUAL
dHash
|
4d51414d65616959 |
|
VISUAL
wHash
|
ff818181bfb9b181 |
|
VISUAL
colorHash
|
31007010000 |
|
VISUAL
cropResistant
|
4d51414d65616959,c9d2d2c8c0c0c0d1 |
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.