Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A234B72A332B86843DB92EDE7392E46B2D2588DF8CB4554F5C956CD23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:aR+EsZx8/G8J447DawjMDBRw8MDBrUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvt6:aR+EsZ/8Jr7DawjMDBRw8MDBrUXx+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,fef9f1e1f1f2e4e1,343038383cbc9889,23d8dad8c89198d9 |
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)