Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128C411F123228DBE41EBDAF2F3A55B3E6095D70CDE5B894E92EC83A527C2C05ED61144 |
|
CONTENT
ssdeep
|
1536:72QYgiwfGKeQV1NNFtTOzR2PR2PR2PR2TJBZEfG6VPbtAKXUbbaAO6RDR23urRe4:Qx000sizG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c78b74c3733cc85 |
|
VISUAL
aHash
|
0218180018183f3f |
|
VISUAL
dHash
|
4433b22bb3b3c8ee |
|
VISUAL
wHash
|
c2981a193d383f3f |
|
VISUAL
colorHash
|
38007200000 |
|
VISUAL
cropResistant
|
e0aac027268280e0,4433b22bb3b3c8ee |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.