Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139233A726332B87843DBA1DDF73D2A46B2D2588DF8C74550B5C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:au+EsZx8/G8RP4KDaw+MIBtwyMIBfUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvt6:au+EsZ/8RQKDaw+MIBtwyMIBfUXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb90e56cc591d5c4 |
|
VISUAL
aHash
|
f1818d8d81818181 |
|
VISUAL
dHash
|
235d5d5d49515951 |
|
VISUAL
wHash
|
ff8d8f8fa9818181 |
|
VISUAL
colorHash
|
3ae00400000 |
|
VISUAL
cropResistant
|
235d5d5d49515951,fef9f1e1f1e2e4e1,343038383cbc9899,63d8dad8c89199d9 |
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.
Pages with identical visual appearance (based on perceptual hash)