Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1836142618015CD335AD7C6D8AAF1EB1F6182825CCB171F045AF853AE7BDFD50CB92298 |
|
CONTENT
ssdeep
|
48:0YQpaJ5OKNeBIBJw3xzPrrhl3jwifaqNTCSt6pFFkM+byzhifSDQkXDBm:2IjpwtPrllDf/5CRNb+6htV4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666666339999 |
|
VISUAL
aHash
|
0018181818000000 |
|
VISUAL
dHash
|
4cb2b2b2320c1000 |
|
VISUAL
wHash
|
0c1c3c3c3c3c0000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8a88b2b280333382,4cb2b2b2320c1000 |
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 432 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)