Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1196171B190159D335A87C6E8EAF1EB1B2182C348CB171E0456F843AB7BDFD508A91299 |
|
CONTENT
ssdeep
|
48:kYQpaJ5OKNeBIBJw3xzPkUhl3jnMifaqNTCSt6pDXFkDvK0XePSkPFiSiWYk4DBm:GIjpwtPkSlnf/5CRNXF27OPbeW9D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666666339999 |
|
VISUAL
aHash
|
0018181818000000 |
|
VISUAL
dHash
|
4cb2b2b2320c1000 |
|
VISUAL
wHash
|
0c1c1c1c1c0c0c0c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8a88b2a280333386,4cb2b2b2320c1000 |
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)