Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AA3AB23412935274437C2D1347A5B7BE5A6999FFEE70A400EECC7FA2AF9CA0741B119 |
|
CONTENT
ssdeep
|
768:ww46ctpR4nXF6YjOpSpFlTC6rrrBvYaRM8xFp0MUbnE0:Z4rtpR4nXBKpSpFl26vFvYaRMHMUbE0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e221103eade5e27d |
|
VISUAL
aHash
|
404870f1f9a46070 |
|
VISUAL
dHash
|
9cb8c3c3316dc680 |
|
VISUAL
wHash
|
464870f1fdf4e078 |
|
VISUAL
colorHash
|
30c00000080 |
|
VISUAL
cropResistant
|
37559c8c4ab53d3c,9cb8c3c3316dc680 |
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.