Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDA3D176A0501E13002353D8EFB08B7BA361D984DE1B1F1606EDC2AE7DEFD58ED512A9 |
|
CONTENT
ssdeep
|
1536:RCvEklAd+84OyuDVx3Pszk4RHsyI1ZM7NY+7IVqWVSMCyxZi/iX13H3:RwEka8Obxfez1smbWBfxZNX1n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc33c72762c5728 |
|
VISUAL
aHash
|
383c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e1c9c9b36b |
|
VISUAL
wHash
|
3c7c7c7c7c7c0301 |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
938b86ce83519b92,e81686da9e2a32b2,c9c9e9e1c9c9b36b,4d1292d21907a8a8,797092081a1a1a0a |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)