Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108A3CE23421935274437C2C1346A5B3BD1A6999FFAE70D410EECCBFA2BF9CA0742B559 |
|
CONTENT
ssdeep
|
768:hFZGAtpR4nXF6YjOpSpFlTC6rr7MESmvL1qxVqltM+6Dp0W+O:hFZLtpR4nXBKpSpFl26vQEJ1qxIZRW+O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0611f3b89e0e6dd |
|
VISUAL
aHash
|
0000f0f17804783c |
|
VISUAL
dHash
|
d8f1c7c3d1ada1e0 |
|
VISUAL
wHash
|
0068f1f178747c3f |
|
VISUAL
colorHash
|
3a000038000 |
|
VISUAL
cropResistant
|
4452ab235652cecd,d8f1c7c3d1ada1e0 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.