Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B235A726722B86883CB91EEFB382D46B2D5549DF8C74450F5C99A8D23C3CC16197BB4 |
|
CONTENT
ssdeep
|
768:5+EsZx8/G8yRF4fDatvMiBetbMiBWwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:5+EsZ/8UOfDatvMiBetbMiBWwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea9c95c5e194c5b4 |
|
VISUAL
aHash
|
b981818181a18181 |
|
VISUAL
dHash
|
517171514d414145 |
|
VISUAL
wHash
|
ff99999181fd8181 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
517171514d414145,32707032c8c0c0c2 |
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.