Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A5496A1B11CCD3941EB9FE475B62A2D61BAE347DD4603CDE69283F406D3CA8E933584 |
|
CONTENT
ssdeep
|
3072:ar92JHh/bcbJbLafv3ca8VQMSEZWIpcuXMhZDBxFfq+SoEvZ7g2M34C/gv2Spcye:fVfvpk8Q2ivU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98366799c9663b31 |
|
VISUAL
aHash
|
eb9381999b9d9fa1 |
|
VISUAL
dHash
|
4b35373733323243 |
|
VISUAL
wHash
|
83918199999f9bb9 |
|
VISUAL
colorHash
|
0ec00018000 |
|
VISUAL
cropResistant
|
67a464c0d1f3f2e6,4acc2b2b2b4b8c0a,4b35373733323243 |
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 229 techniques to evade detection by security scanners and make reverse engineering more difficult.