Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106730A50A22137691D734FB4F38A32F6D0AFD389E5B6186EB368C25073C3565C6329E6 |
|
CONTENT
ssdeep
|
1536:kmB0wA3Wns+O6RG6o3E4tKilSrq8Z7U1c/0AYJ7wcOercca2wi8XV0+nNohMdBXz:5dYJ7/9bO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1719a9e61658e65 |
|
VISUAL
aHash
|
ffffc3c3c3ffffff |
|
VISUAL
dHash
|
191e9696960e161e |
|
VISUAL
wHash
|
c7c3c3c3c3c3c383 |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
191e9696960e161e,b6fdf9e979f4f861 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.