Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FD29571B040273B129783C97761F35EE2E2924ADA8A0D15A2FC835D4BD7E94DE2352A |
|
CONTENT
ssdeep
|
768:GeFy5NySoiw8Ptd6KgRNeCkgqO/S7sOy2+y9BH4cLIe:woiw8PbgRwB7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d538b82d85c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc9c3cbcdacd100 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
c200c00258d88000,dcc9cbc3c9cdacc0 |
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.