Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141C2C731B0042A3B42D792C9B3A1A32FA2E3424AEB57055552FD83AD4FE7D94DE3351B |
|
CONTENT
ssdeep
|
768:ISby5Npf2uzUD4ZFvRAoG7sOy2+y9BH4cLIe:22g567sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9265fc32e93c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9cccc4c8c8cc3c00 |
|
VISUAL
wHash
|
00fe6820600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
d245714d4d715596,1080800458988000,9cccc4d8e8c9cc3c |
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)