Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F061426180158D335AD7C6E8AAF1EB1F6182824CCB571F045AF853AE7BDFD508B91298 |
|
CONTENT
ssdeep
|
48:yYQpaJ5OKNeBIBJw3xzPPUhl3jnMifaqNTCSt6pFFkM+byzPS3SDQkXDBm:0IjpwtPPSlnf/5CRNb+6PBV4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666666339999 |
|
VISUAL
aHash
|
0018181818000000 |
|
VISUAL
dHash
|
4cb2b2b2320c1000 |
|
VISUAL
wHash
|
3c3c3c3c38303030 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8a88b2a280333382,4cb2b2b2320c1000 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)