Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6D2933271007A3B119793C9B762E32FE2E3524ADA961544A2FC83ED4BD7C58DE3351A |
|
CONTENT
ssdeep
|
384:BSkZFneqKvXduJxQdVSYMm0GlnKHlVrsfAjfaIYsOy2+y9BH4cCUIe:BSkZFnOHDkUAm7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c222bd6dcd46b2b2 |
|
VISUAL
aHash
|
000004300000ffff |
|
VISUAL
dHash
|
c4c8ccc4d0c8cc00 |
|
VISUAL
wHash
|
00002e7c7838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0880800458988000,c4d2cccce0d0c8ec |
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.