Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB54F975930C796F2087CBC8AF726534E36F95B8B97A42A08E5FCB710587CD4EA1B850 |
|
CONTENT
ssdeep
|
3072:ojgwRIUwOZz2CclZwMydV1qM2iBSxKAPOSSo:oMKzwOZz2CcSEPOg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b64b36164b36b4c6 |
|
VISUAL
aHash
|
0000ffffffc7c7c7 |
|
VISUAL
dHash
|
cc591e2b432e2f2f |
|
VISUAL
wHash
|
0000ffdfff838383 |
|
VISUAL
colorHash
|
07200010180 |
|
VISUAL
cropResistant
|
e8c1e90b1b1a6410,18322b002e2f2f2f,e07064aad8d8a008,04dcd4c9cbd0c90b,1018181c1c181810,d6e676c2e2e6c2b6 |
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 63799 techniques to evade detection by security scanners and make reverse engineering more difficult.