Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132234B726732B8B843DB91EEE73D2946B2D2589DF8C74410F5C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a++EsZx8/G824RDatjMJBLtNMJBNwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:a++EsZ/8RRDatjMJBLtNMJBNwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f91c06ec4c183 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
7d71797175000000 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
7d71797175000000,396986cc840e9aba,fef2f0e9f9f2b2de |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.