Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176D28231A010773F129783C97752F72FA2E39249E74A081552F9C79E4BA3E90ED5392E |
|
CONTENT
ssdeep
|
768:ISFy5N4VE9W/5HCAsZcf7sOy2+y9BH4cLIe:zE9WRHCBZcf7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c252f83a992dc7c6 |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
1808c4c0cc4ccf00 |
|
VISUAL
wHash
|
00ecf0203c24ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,9408c4c0d8cccccf |
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.