Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A6298305586757B16B723800782FB1FE3C481C1D5270ECAD9FD8B5A9ACAEA8DD7121E |
|
CONTENT
ssdeep
|
192:/c44CCZ4AK6rLNTJS+JT683XFLt9USnVmCAFtLx+hPbuj+U:044CANK6rBTJJJLnFp9VB0xobC+U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999d66a78c643999 |
|
VISUAL
aHash
|
3e3c181818183c3c |
|
VISUAL
dHash
|
e869b2b2b2f0c8f0 |
|
VISUAL
wHash
|
7e3c18381c3c7c7c |
|
VISUAL
colorHash
|
30000018080 |
|
VISUAL
cropResistant
|
e6b4a7616578d4d4,e869b2b2b2f0c8f0 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.