Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9A3E9678544657F26E362C89B382F0EB2AD4048CE3687D566EAC38D27C2FA1CD3558D |
|
CONTENT
ssdeep
|
768:FaljgLFp5UrNVuZMzNg0bG3SrQaQ8oWQ1pFW5lzx8hrf+Z+kbUgxgy50hsB137S:yNVZoS0qoZ1pFU8hrvklBh7S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87522d5b78b45a2d |
|
VISUAL
aHash
|
002606063c3c3f03 |
|
VISUAL
dHash
|
dcccccdc68e8f6d7 |
|
VISUAL
wHash
|
007e1e0e3e3e3f07 |
|
VISUAL
colorHash
|
01006000080 |
|
VISUAL
cropResistant
|
60b89a4b2cb8b3b9,fc8041595951c0ba,4200415959590042,c9cc6ccd4cae2e2d,dcccccdc68e8f6d7 |
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 180 techniques to evade detection by security scanners and make reverse engineering more difficult.