Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13361327180158D335AD7C2E8AAF1EB1F61828388CB571F045AF853AB7BDFD508B91299 |
|
CONTENT
ssdeep
|
48:Y1YQpaJ5OKNeBIBJw3xzPPrhl3jnMifaqNTCSt6pFFkM+byzHSkPFiS2WWkq75D0:YhIjpwtPPllnf/5CRNb+6HbiW3r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666666339999 |
|
VISUAL
aHash
|
0018181818000000 |
|
VISUAL
dHash
|
4cb2b2b2320c1000 |
|
VISUAL
wHash
|
f8f8f8f83c3c3030 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8a88b2b280333386,4cb2b2b2320c1000 |
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 | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)