Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B893AB23411975274437C2C1346A5B3BD1E6999FFEE70A010EECCBFA6AF9CA0741B259 |
|
CONTENT
ssdeep
|
768:ikFvtpR4nXF6YjOpSpFlTC6rr76L+aFS9p0g/t:i4vtpR4nXBKpSpFl26vGL+89g/t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c164fe3bc1e4c6c1 |
|
VISUAL
aHash
|
fe8870700804e8fc |
|
VISUAL
dHash
|
8239e7c3584d4bc0 |
|
VISUAL
wHash
|
fe8870702e05f8fc |
|
VISUAL
colorHash
|
30400038000 |
|
VISUAL
cropResistant
|
8239e7c3584d4bc0 |
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.