Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DC2B5726000263B0197C3D97B61BB6EE2E39248DB45180583FD876E5FE7E94DE2352B |
|
CONTENT
ssdeep
|
768:cS5y5N9S7G4xhnp7WpdU6u567sOy2+y9BH4crIe:r7GvnL7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a9c2cccc6 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9cccc0c8c9c70e00 |
|
VISUAL
wHash
|
40e478202417ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,98ccc8c0c8cde70e |
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.