Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CD29431B1047A3B519792CDF761A32FA2E2524BDF8A0948A3FC83ED47D6D54DE2311A |
|
CONTENT
ssdeep
|
384:VSkZYnrnbrUm+/YY8VSYwqX7qlNKtZK+sQ06BJOrIYsOy2+y9BH4cCUIe:VSkZYnlSCuksP6Bc7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc2de543c69c |
|
VISUAL
aHash
|
000024200000ffff |
|
VISUAL
dHash
|
cc9cccc8c0c8cc00 |
|
VISUAL
wHash
|
00007e743838ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
0880800458988000,cc92ecc8c8c0c0cc |
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.