Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0C2B571A114363F0297C3C57322F72EA2E39248D746081693FC875E9BE7E54DE2B52A |
|
CONTENT
ssdeep
|
768:nS5y5NtWreVwcDSYREw7sOy2+y9BH4c1Ie:srAuM7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f43a983ccdc3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8cccc0c8c9e71e00 |
|
VISUAL
wHash
|
40e478202433ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,98ccc8c0c8cde70e |
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.