Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12093B923421975274437C2C1346A6B3BD1A6999FFAE70E400EECCBFB2BF9C90741A519 |
|
CONTENT
ssdeep
|
768:P0usLtpR4nXF6YjOpSpFlTC6rrWTknrCB+X2L0bxb0j:P0uKtpR4nXBKpSpFl26v4SrYC2ab0j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8339fcc6ee1c9161 |
|
VISUAL
aHash
|
ff000e2e7e7e04ff |
|
VISUAL
dHash
|
c8cfd8e8ccec6c87 |
|
VISUAL
wHash
|
fe000e0c7c7e04ff |
|
VISUAL
colorHash
|
11006000040 |
|
VISUAL
cropResistant
|
b494e8cc829692f6,d500000000000000,d8c7d8f8ccccec6d |
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 111 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)