Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AD2E972F6C87C73426353ECB0D1E689A6AF454E8F614D607BAC45A8B3D28E74D312A4 |
|
CONTENT
ssdeep
|
768:vFDXzzbDTCiW26kubS5W4CY/J0FFoFDXzzbDTqI38AEKbpOdS2Y:RKAsAEKb402Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2434dad34133ab6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
00e0c8c82e2e2f3c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
6063c898cc84c2c1,15196c2b2acdae1a,2c2e2b07272f2c38,802088e8c8c8c8c8 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)