Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7C2C631B1102B3B429783C97751B71EE2E38248DB85190652FD839D9BD3E61DE2762E |
|
CONTENT
ssdeep
|
768:cS5y5NlgUtDsgvQ/yi7sOy2+y9BH4cLIe:VUCg4/77sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343bd3ebc29c1c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98ccc0c0cccfe700 |
|
VISUAL
wHash
|
00e478780423ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,98ccc0d0e0cccfe7 |
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.