Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10663AE35E2406D324113D2C8EEE66F6A2362DB85DA520E59129CC37B7EEFD24FC2119D |
|
CONTENT
ssdeep
|
1536:UfdpBaHGPLbyx/FqaS2mhgIgWdrjcb/iZKIS5qO/kc3U0llW48:UVfaHGXyFFnmh7bdXqEJS5+c3Uklv8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbd33c33762c5522 |
|
VISUAL
aHash
|
283c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e1c9c9b3eb |
|
VISUAL
wHash
|
3c7c7c7c7c7c0301 |
|
VISUAL
colorHash
|
07000000183 |
|
VISUAL
cropResistant
|
9393c6ccc3139b92,b2ac8ed6aa2a969e,c9c9e9e1c9c9b3eb,48167575944ee0c0,b9b137181a1a180a |
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.
Pages with identical visual appearance (based on perceptual hash)