Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBC411F123228DBE41D7E6F6F3A56B2E7095D70CDE9B894E92EC83A527C2C05ED61140 |
|
CONTENT
ssdeep
|
1536:0xdNiwfGKeQV1ENFtUdlR2PR2PR2PR2TJBZEfG6VPbtAKXUbbaAOtPDpSg4mejvZ:W9000EV4mb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c7db3443633dc8c |
|
VISUAL
aHash
|
0218180010183f3f |
|
VISUAL
dHash
|
0433b22b33b0c9ed |
|
VISUAL
wHash
|
c2989a193d183f3f |
|
VISUAL
colorHash
|
38006200000 |
|
VISUAL
cropResistant
|
e0aac027268280e0,0433b22b33b0c9ed |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.