Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139C2527261506B3B4293C2C976607B2FA2E3928DD78A050592FDC76D0FE7E50EE23526 |
|
CONTENT
ssdeep
|
768:/ej3YxmFvVj4b9xQNeRJwb7sOy2+y9BH4cLIe:uNj67QH7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2479432bc3cb2e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc0c2c8c8cccc00 |
|
VISUAL
wHash
|
067c6060404effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcc8c0c0c8c8cccc |
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.