Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3A3CC23411935274437C2D1346A5B3BD1A6D99FFAE70A001EECCBFA2BF9CA0745B619 |
|
CONTENT
ssdeep
|
768:K908/5tpR4nXF6YjOpSpFlTC6rr7pPz3wFzpOEMQfa:K908htpR4nXBKpSpFl26v9zAsEMQfa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0213f3bc1e5c6cd |
|
VISUAL
aHash
|
400870f0f8f4f0fc |
|
VISUAL
dHash
|
c818c7c3908d8040 |
|
VISUAL
wHash
|
400cf0f0f8f4f8fc |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
c818c7c3908d8040 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.