Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D134B726332B87883DB91EEF7382946B2D6589DF8C74454B5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aE+EsZx8/G8B4TDawhMIBUwUMIBKUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtAZ:aE+EsZ/8yTDawhMIBUwUMIBKUXx+y9d9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6ac0943f95c187 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
050f4f5f5f042000 |
|
VISUAL
wHash
|
8180810181ffffff |
|
VISUAL
colorHash
|
16001000380 |
|
VISUAL
cropResistant
|
050f4f5f5f042000,06168bcb8e9f6f9f |
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.