Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1090342BFB0196D7F018765C286A4A17D33C64E9CDA46C79852BCC7587FF9CA09E1280B |
|
CONTENT
ssdeep
|
384:3YjLtNIIJlqfIIIII9PlBFBUakykZK//CNck89ohoRBpW:ojLtNIIT2IIIIIBUazkM//CcF90cu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e3791c1969c6c6 |
|
VISUAL
aHash
|
00e1f7ff7f3c1818 |
|
VISUAL
dHash
|
c78fcfd3e5e1f0f0 |
|
VISUAL
wHash
|
00c0f7ff7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f7e3d3ca9d888c8c,0010686171480000,c78fcfd3e5e1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)