Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129512E6180168D3356D7C2DCAAF1E71FA1C2824CCB571F145AF853AA7BDFD90CA92298 |
|
CONTENT
ssdeep
|
48:Y1Y5xpaJ5OKNeBIBJw3xzPPrhl3jnMifaqNTCSt6pFFkM+byzPSTDQkXDBm:YW3IjpwtPPllnf/5CRNb+6PsV4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666666339999 |
|
VISUAL
aHash
|
0018181800000000 |
|
VISUAL
dHash
|
4cb2b2b2320c0000 |
|
VISUAL
wHash
|
0c1c3c3c070f0f0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
aa88b2a2c03333c2,4cb2b2b2320c0000 |
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)