Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7A3DA23425975274437C2C1346A5F3BD1A69A9BFAE70A010EECCBFA2BF9C90741B51D |
|
CONTENT
ssdeep
|
768:HNMtpR4nXF6YjOpSpFlTC6rrWPkUzUAZj4XUK9/1Vv:HCtpR4nXBKpSpFl26vYVZAr1Vv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8339fc46eb1c9163 |
|
VISUAL
aHash
|
ff000e2e7c7e04ff |
|
VISUAL
dHash
|
48cfd8e8ccec6c83 |
|
VISUAL
wHash
|
bf000e0c7c7e04ff |
|
VISUAL
colorHash
|
11006000040 |
|
VISUAL
cropResistant
|
b494e8cc829692f6,d500000000000000,48c7d8f8ccccec6d |
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.
Pages with identical visual appearance (based on perceptual hash)