Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C3387B153452A2F206381D1B759E72BD3C6E705C7274E97E2E8C32773CAEA49D35128 |
|
CONTENT
ssdeep
|
768:e+yqCO6C6+JyGBv2BQORtO+2CCiO1HJyqCO6C6+JyGBv2BQORtO+2CCiO1H6K0k6:cK0pyeaWb00vxTAa8q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3b01896b8 |
|
VISUAL
aHash
|
fb919f9fdfffffff |
|
VISUAL
dHash
|
4b2b3431b4d41d4d |
|
VISUAL
wHash
|
00001e1e5e1effe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2b3431b4d41d4d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)