Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BEE32C303359793E95A347D2E1AA3325727E831ED50F8C18B3A8D5AA13D9C4A6533FD8 |
|
CONTENT
ssdeep
|
3072:lWvSOKnWYcWEQd3TnCxyNWWEQd3TnCxyNkUPX8VMAIGvnAK1toF:UUMzNvnAK1toF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34bb87bba0ac3c2 |
|
VISUAL
aHash
|
ff002000000000ff |
|
VISUAL
dHash
|
2bc8c8ccc8c8a794 |
|
VISUAL
wHash
|
ff0078240060ffff |
|
VISUAL
colorHash
|
31406000000 |
|
VISUAL
cropResistant
|
000b032b2b2b0b14,b4b480048000001a,31c8c8cce8c843b5 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)