Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E53737062101A7F40CBC3E0F670BB6EE1D99399C66B9759B3E8C35A2FC6C56CC99214 |
|
CONTENT
ssdeep
|
768:t9tc2R2ZQDlDEho96dVwSvRrATa+C0oc0qMzb1V8mRixpx7doFwYUsYsx9VGghU9:SdsGOMSsu7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d4c66b39b584683b |
|
VISUAL
aHash
|
007c7c7e5e400000 |
|
VISUAL
dHash
|
d4d8c0e49c914400 |
|
VISUAL
wHash
|
02fefeff7ee00000 |
|
VISUAL
colorHash
|
38007000040 |
|
VISUAL
cropResistant
|
d4d8c0e49c914400 |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.