Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18393C923411975274437C2C1346A6B3BD1A6D98BFAE70A410EECCBFA6BF9CA0745B11D |
|
CONTENT
ssdeep
|
768:JS3tpR4nXF6YjOpSpFlTC6rrW3m1vkeaDh+1XeC0ebtT+H:JQtpR4nXBKpSpFl26vD9krDoFtB6H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8339ecc6ef1c9161 |
|
VISUAL
aHash
|
ff000e0e7e7e00ff |
|
VISUAL
dHash
|
49cfdce8ccec6c8d |
|
VISUAL
wHash
|
bf000e0c7e7e00ff |
|
VISUAL
colorHash
|
11006000040 |
|
VISUAL
cropResistant
|
b494e8cc829692f6,d500000000000000,48cfdcf8c8ccec67 |
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.