Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B693CC27422975274437C2C134BA5B3BD1A6D99FFAE70A000EECC7FA6AF9C90745B119 |
|
CONTENT
ssdeep
|
768:bD4zNtpR4nXF6YjOpSpFlTC6rrrntUVhZRramp0ax1b2k:bMzNtpR4nXBKpSpFl26vJUVhjaRax1ak |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2213f3ac1e1e6dc |
|
VISUAL
aHash
|
400870f0f8f4f0fc |
|
VISUAL
dHash
|
8830c7c3908d80c0 |
|
VISUAL
wHash
|
4048f0f0f8f4f8fc |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
8830c7c3908d80c0 |
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.