Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDF20A34622007B9158703F4E562FD96B27DF3D9E66F859893EC80262ECDC8DCA45E72 |
|
CONTENT
ssdeep
|
768:44geGwH/heLC+zLJqOac7IhQR3KVT8TnefYGxzuJAnNbLu:4deJX+zUOac7IOZKVTsneQ2NbLu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8fef7020a1df8d22 |
|
VISUAL
aHash
|
e3c3bcbde3180000 |
|
VISUAL
dHash
|
87076969d7d74d91 |
|
VISUAL
wHash
|
e3e3bdbdf7190000 |
|
VISUAL
colorHash
|
39001018080 |
|
VISUAL
cropResistant
|
1515965656b67549,6a66153536766a6b,d515139ada5ad5d5,4b6b6c56d56d674b,2b65551d1c8c29ae,87076969d7d74d91 |
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 4471 techniques to evade detection by security scanners and make reverse engineering more difficult.