Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAD28331B100BA3B129782C9B761E31FA2E3528AEB86091553FD83AD4BD7D54DE3351A |
|
CONTENT
ssdeep
|
384:eSkZ1fqqMWsFpbYz6YzuUGa2V3FxZHly420Y7eGwIYsOy2+y9BH4cCUIe:eSkZ1fnVpB4FAAY7o7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc29ed43c696 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
ccbcccc8c0c8cc00 |
|
VISUAL
wHash
|
00007e7c3830ffff |
|
VISUAL
colorHash
|
3a000000418 |
|
VISUAL
cropResistant
|
0880800458988000,cc1aecccc0c0c0cc |
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.
Pages with identical visual appearance (based on perceptual hash)