Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1484296A023605E3F515786E4F361BF6952A893C9D9D3827DE1FC81722F85C74EE8E290 |
|
CONTENT
ssdeep
|
192:B4hFettHC0wI8wqhNBYEPEggHeVGysLzo3muEHNMF9cUz/:B8FAJQIyNpZp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c08f2f2d8dc8cab |
|
VISUAL
aHash
|
1e001818ffffffff |
|
VISUAL
dHash
|
7496b33232b24c31 |
|
VISUAL
wHash
|
0c00181899ffe7ff |
|
VISUAL
colorHash
|
0e680000000 |
|
VISUAL
cropResistant
|
0009494949090054,33323232b20c5031,547494db77b33332 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.