Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19953AA73A2561803906BD1D5B1604B1E3281D785C7138B7693F917EAFFCDCB66B2229C |
|
CONTENT
ssdeep
|
1536:d3HdIyi3qACJ6oJUKoJRgoJ5oJJCyb2oJzd3fAmAezgenYeeee60JXEbVZIAoeTR:G3qA6JULJXJyJB3JztAmTnmJXEbVZIAt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
833e31d192f13d6c |
|
VISUAL
aHash
|
2820317c7c696868 |
|
VISUAL
dHash
|
c9e5e5d9d1d9d9d9 |
|
VISUAL
wHash
|
2851717c7d696969 |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
882462fc9a9a9a9a,b2329199baed8eae,6171716161e00206,b2b29199baedaeae,6171716161e00206,b032939199ba79cc,3c9c9c3f9f9f3f9f,4bcd6d6d6c6cacad,2e9e9f2e9e9f3e9e,949836f815152d29,0101010101010100,d7693248cccc4c6c,ce4b5878696b3121,97c56931f1e1a0ac |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.