Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1754167A190244C378557D5E4F7C06F5B70C18243CB55160067FCE76E2AEBDE6DE112E5 |
|
CONTENT
ssdeep
|
48:Te8w9pRMW0GN5SN1v/wHnRRDp1wocNx+Tfhk0oA1D:Te8gRMqSN1X4jFrTZk0oA1D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83d99b26fcd90626 |
|
VISUAL
aHash
|
3f3f3f3f373f3f3f |
|
VISUAL
dHash
|
d0d8c4d8c6c4d8d0 |
|
VISUAL
wHash
|
0f0f030303070f0f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
80908c98cd8cb080,f386b4b6b6b486f3,000802b1300e1000 |
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 157 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)