Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD93CC36A23B1826911FB2E4A2A447192693CB8AC7438BF5627D12F67FCDC753D1318D |
|
CONTENT
ssdeep
|
1536:bcny4lrg6QMF0NbqMFpDkel0es9MvVee3DBkM7zSATMtMVoy5XHd5eoL5KBSRXUU:bcny4lrd+xJllZ7wyDXXUQYDHgTEQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3cc329a9b9acd31 |
|
VISUAL
aHash
|
3c20303c2c3c2c64 |
|
VISUAL
dHash
|
79c64469d959c9d9 |
|
VISUAL
wHash
|
3c723e3c3e3c3c24 |
|
VISUAL
colorHash
|
02200030000 |
|
VISUAL
cropResistant
|
79c64469d959c9d9,ceed490981917971,f0f4f4f0d0d0d0d8,d91a87e971f5dc9e |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)