Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162B21E72D0919D3B008382E563B5C707E2E1C288DB47539513F8D3EDAFDACA6ED26694 |
|
CONTENT
ssdeep
|
384:fAsdQ1rWTK0bWK5+kM8H0yzWcHIx7jvqMpd+H5ZR4SJTKUcWrzkSR:fAsdQ1KTNMXrxaMpiN7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93186cece924d4e |
|
VISUAL
aHash
|
ffcfcbcfc1f1ffff |
|
VISUAL
dHash
|
d69f9b9e93132943 |
|
VISUAL
wHash
|
7fc3c1c1c1c181bf |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
d69f9b9e93132943,ccccccc898993226,64646c485a567232,0008343212120000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.