Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE5186761000891F3262A5A1EC677289C569D60FC27ABEB4F37911FA69D1EF8C072253 |
|
CONTENT
ssdeep
|
48:biNnsJUeWTQjrLmL1LFiL5LFpMGMJmusihbNaN4f513NQ8JFf+xSFffuKW8D1FfK:bmCUdhc9XMGMJV/9139JNjW8BxOiIRL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a87068595939f7a6 |
|
VISUAL
aHash
|
0000f7ffffff87ff |
|
VISUAL
dHash
|
82a68632f0475725 |
|
VISUAL
wHash
|
0000e3ffffff8101 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
868633f288577725,008292929200a0a0,8d5555557577761a,5b8aa78787a5b41a,6565660a2a6a6746,aaaacec9a9293517,9a1951424a425654,e9695494b4d6ce4c,e2e2ea4a5a4a18b4,a54544697414868b |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.