Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C233A726332B8B843DBA1DEE7382A55B2D2588DF8C74554F1C95ACE23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:aZ+EsZx8/G8Py44Daw7MLBpwuMLBzUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvt6:aZ+EsZ/8PF4Daw7MLBpwuMLBzUXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc4e46e9194c4 |
|
VISUAL
aHash
|
ff81818181ffffff |
|
VISUAL
dHash
|
4d5d5d5d49150001 |
|
VISUAL
wHash
|
ff8000008181ffff |
|
VISUAL
colorHash
|
17e00400000 |
|
VISUAL
cropResistant
|
4d5d5d5d49150001,fef9f1e1f1e2e4e1,343030383cbc9899,98da9adadad8c813 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)