Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8C27331B1006A3B52D7C2DAB761A72FA2E2920EFA87041492F8C3BD47DBD55DE23519 |
|
CONTENT
ssdeep
|
768:ASkZbPnXCClHYvoRy+7sOy2+y9BH4crIe:eSsF7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c323bc2dc54396ba |
|
VISUAL
aHash
|
000000200000ffff |
|
VISUAL
dHash
|
ccccc8c8c8e0ec00 |
|
VISUAL
wHash
|
00006c7c7838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0080800458988000,ccd2ccc8c8c0c0ec |
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.