Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C93AB23422975274437C2C1347A5B3BD1A6D99FFAE70A400EECCBFA6BF9C90745A119 |
|
CONTENT
ssdeep
|
768:LxtpR4nXF6YjOpSpFlTC6rr7U1yq+/iHVXl82dap0hHga7G:9tpR4nXBKpSpFl26vA1fmWlFDhHgCG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c164fc3bd1c4e6c1 |
|
VISUAL
aHash
|
fa8870700805f8fc |
|
VISUAL
dHash
|
8238c7c3d04d8ac8 |
|
VISUAL
wHash
|
fe9870700e05f8fc |
|
VISUAL
colorHash
|
30400038000 |
|
VISUAL
cropResistant
|
8238c7c3d04d8ac8 |
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.