Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0C2B43161903B3B46A383CCB762A71F62E2824DEB85051593FD836D0BD7E50EE6753A |
|
CONTENT
ssdeep
|
768:Re/Be1Fw0W5HoKyoM62VveOF7sOy2+y9BH4crIe:M5GlfnZ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3479432bc32b3e5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
ccc0c8c0c8cccc00 |
|
VISUAL
wHash
|
26706070044effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,ccc0c0c8c0c8cccc |
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.