Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161A2B432A0802A3F115393D873A2BB2DE1D7928DC7D9180953FC87AE4BDAF50DD1795A |
|
CONTENT
ssdeep
|
384:yOy5NOPwV2f5QRqYgXHOskccn8XplmRNiwvcdclMLmN86IYsOy2+y9BH4cCUIe:yOy5NOPjqhskccnuplmRNiwvDlMLmj7F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b438f93293cb |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
18c5c9c3c3cded00 |
|
VISUAL
wHash
|
00f06c70004fffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0880800458988000,18c7c9cbc3c3dded |
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.