Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175C2B77271007E3B41A792CAB761E71FA3E3924ADA86060952FCC3ED47D3D94DE2351A |
|
CONTENT
ssdeep
|
768:nSkZEHiLsAmBzs1P0Yqv7sOy2+y9BH4cLIe:oJBzz7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc6dc54696ba |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
c498ccccc0c8ec00 |
|
VISUAL
wHash
|
00006c7c7838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0880800458988000,ccd2ccccc0d8c8ec |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)