Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E234A726322B86843DB91EEF7383946B2D1589DF8C74414F5C99ACE23C3C916197BB4 |
|
CONTENT
ssdeep
|
768:a7+EsZx8/G874aDawWMDBzwZMDBpUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtAZ:a7+EsZ/8UaDawWMDBzwZMDBpUXx+y9d9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6bc5943a94846e |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
594949594d000000 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
1e001400018 |
|
VISUAL
cropResistant
|
594949594d000000,939b8a88c298889c |
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.