Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177B29730B2407A3B129793DAB761E71BB2E2924AEB47050553FC939C4BE7C45DE2351E |
|
CONTENT
ssdeep
|
384:bSkZbVUfLlrGY8V6Y7KIsvYIfUPLT6i5darIfFrdIYsOy2+y9BH4cUUIe:bSkZb0oxOlK6iQIfn7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bd29cd42d3b2 |
|
VISUAL
aHash
|
000000300000ffff |
|
VISUAL
dHash
|
c0ccc8c0c0c8cc00 |
|
VISUAL
wHash
|
00002e7c3878ffff |
|
VISUAL
colorHash
|
3a000000418 |
|
VISUAL
cropResistant
|
c880800458988000,c892ccc0c0c0c0cc |
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.