Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FD2B87571107A37419381DAB2A1673BA2E3434FE7470515E2FD83AE0BE7D14EA2721E |
|
CONTENT
ssdeep
|
768:Pei7MsnqagGsn5+ZW+uC7sOy2+y9BH4crIe:Hsn5KuC7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b434ad34e5c7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
94ccccd0d88c8c00 |
|
VISUAL
wHash
|
467c6c006044ffff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0880880458988000,94ccccc0d8d88c8c |
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)