Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BE20932C200A67B82A3D2D497312B2B73D5428DEE43AB0483FC875D9ED9DC6ED165A5 |
|
CONTENT
ssdeep
|
384:vmtKonDEA+1kbaXdZy/+18wmHewlw88liwQhl9Zw44uwIKfcGv+SaCnAeAXQsI:v3onDEfkbaNZy/+1HzYKsqAePn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3629c8d731f9494 |
|
VISUAL
aHash
|
00000000e3ffffff |
|
VISUAL
dHash
|
4bc749494f4e534f |
|
VISUAL
wHash
|
00c00000e7ffffff |
|
VISUAL
colorHash
|
06000000c00 |
|
VISUAL
cropResistant
|
4b8d49494f6e534f,c9ede4f6f6f4f0e3,000008021c181a04,29092a7c7274686b,33714d476d490606 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|