Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DD2CA3672106A37419381C673A15B2AA3F7474FE7460516A3FE83AD0BE3E14DF2761A |
|
CONTENT
ssdeep
|
384:De13zA+5GOPxmSg0Fl1DXcx5ktZj+xJxKGl038H22IYsOy2+y9BH4ciUIe:De13fHwS3kx50Zjmx7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b430bd34e5c7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccc4c8c88c8c00 |
|
VISUAL
wHash
|
067c74206044ffff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0c80880458988000,d4ccccc0c8c88c8c |
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)