Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112C2C736A0402B3F115793C97352F32EE2E3A289DB5A190552F88B5D4BE7ED0DE2351B |
|
CONTENT
ssdeep
|
768:jfe/y5NXb+FkqCh/sjuZi7sOy2+y9BH4crIe:6kqChti7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc389869c386 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
044ccccacccdc300 |
|
VISUAL
wHash
|
80f6f2600420ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944ccccec8cccdc3 |
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.