Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CD286336110273B119792C9B371A32BA6E7938AEB57091552FD83EC0EE7D94DE3341A |
|
CONTENT
ssdeep
|
384:CfKSby5NcKwcgIwqxHppMm8VZYeH1wV4unZCuHIGgjIXwSIYsOy2+y9BH4cUUIe:9Sby5Nc+D0a4buoi7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9265fc32e93c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9cccc4c8c8dc3c00 |
|
VISUAL
wHash
|
40f66820600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d4d4d715596,1080800458988000,9cccccd8e8c98c3c |
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)