Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB3294A3C15D5E360B2201C9F66627AF79A5818CDB024FE427F8D33D2BDAE7195324C9 |
|
CONTENT
ssdeep
|
192:PIw5vAzDx2VB8iIidQVdivTIr8pQxU7DP8F:PVecVB1NCevTIr8pQxeDP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a979869690d383f3 |
|
VISUAL
aHash
|
ff81818181ffffff |
|
VISUAL
dHash
|
370f13133f0b0fcf |
|
VISUAL
wHash
|
c381818181e3ff7f |
|
VISUAL
colorHash
|
17038000080 |
|
VISUAL
cropResistant
|
370f13133f0b0fcf,ea03071733330f37 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.