Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E626F70A444AA3B02D392D4A77997AFB3D3C284CA57134D63F5879E2FEBC46CC88525 |
|
CONTENT
ssdeep
|
384:+reLBe9ePxopksuNS6XZ1IKXKrKCKuKVE01f:We9e9eXsuNSKvIgiLhoE01f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0ad9f39b02d9ec1 |
|
VISUAL
aHash
|
0370726460007074 |
|
VISUAL
dHash
|
2bc6c684906cc2ed |
|
VISUAL
wHash
|
bf7a7e764000707c |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
2bc6c684906cc2ed |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.