Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173C29431B2507637119B82C9B3A0E71BA2E2934AEA86054543FDD3EC4BE7D94DE7311A |
|
CONTENT
ssdeep
|
768:jSkZyKf3+p54FIcgeZ7sOy2+y9BH4cLIe:hr7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342bc2de543c78e |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
ccb0c8ccc0c8cc00 |
|
VISUAL
wHash
|
00007c7c3838ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
0880800458988000,cc9ce8ccc8c0c0cc |
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.