Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13523B7A3936806FF256742C5AE4023EF738A408DCB554AC8E2EDC15DA3CEDA079E57D4 |
|
CONTENT
ssdeep
|
768:7VwgQlIW7VGi05ND0SaPaJpGE/P7pTTN6666BAAg224l:7dW7VG1NDtaP0oE/1N6666BA4l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec69c2c368d36969 |
|
VISUAL
aHash
|
c1838181c3ffffc3 |
|
VISUAL
dHash
|
3333333333333233 |
|
VISUAL
wHash
|
c181818181ffffd3 |
|
VISUAL
colorHash
|
16006000000 |
|
VISUAL
cropResistant
|
3333333333333233,2b71353371717171,1462617169717906,fffffffffffffcfd,000000000000c0c0 |
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 942 techniques to evade detection by security scanners and make reverse engineering more difficult.