Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196234AB26722B4A843DB91EEF7382D56B2D1588DF8CB4410F5C95ACD13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a7+EsZx8/G8Y4FDawXMSBAwRMSB5qN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5d:a7+EsZ/8LFDawXMSBAwRMSBUN2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af2fc1852fc0c06f |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4b49415151000100 |
|
VISUAL
wHash
|
8181008181ffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
4b49415151000100,cbcbc8c2dadad2d2 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.