Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11ED2A732A0006B3F41D7C2CAB7A1B72BA6E3528EE756055153FD83AD4BE3E54DE23416 |
|
CONTENT
ssdeep
|
384:FSby5NDG1tkWc+fMG8fPLf456omCFIN1cbaVINIYsOy2+y9BH4cCUIe:FSby5NDGlU9AaLi7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926cfc32e93c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9cccc4c8c8dc3c00 |
|
VISUAL
wHash
|
00fe6820600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca512d8696695596,1080800458988000,94ccc4d8c8c9dc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)