Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100B28431F10036374197D3D9B361E36AA2A6928AEB46091542F9D36C8FE7D90DB3361F |
|
CONTENT
ssdeep
|
384:fqbe/y5NE454LW9jtMqVyjLQp5w2Zl1NldTX2rsMIRnIYsOy2+y9BH4cUUIe:ybe/y5NEqhJLZTLM+7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc389869c386 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
044cccc2cccdc300 |
|
VISUAL
wHash
|
80e6f2602420ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944cccc6c0cccdc3 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)