Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3C2B671A100273F02A7C2DAB355B72EA2E3828DD786181943FD836E5BE7E50DD1352A |
|
CONTENT
ssdeep
|
768:1SXy5NlgX5PQUDhcs4AFD8TR96CoRW77sOy2+y9BH4c1Ie:GX5PQUDhcM8996Coc77sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd12d82d8483 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49cbc3cc4cf600 |
|
VISUAL
wHash
|
80e571302c04ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
008080084c808000,1409cbc3c3cccce6 |
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.