Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170C28731F1007A3B51A792CDB761E31BA2D3434BEA8A081593FC83AD4BD7E54DE27619 |
|
CONTENT
ssdeep
|
384:88SkZSPplMVObPAW13/Y2s8uIMUHegmvC1h/b6ilCJQIYsOy2+y9BH4cUUIe:ZSkZSP2eH5RRP+a7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bd2dc546d3b2 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccccc8c4c0c0cc00 |
|
VISUAL
wHash
|
00006c7c3878ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
0880800458988000,ccc6c8c8c4d0c0cc |
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.