Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F234A726332B86843DB91EEE7392E45B2D6598DF8CB4550F1C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:ay+EsZx8/G8sj4LDawNMJBPwgMJBJwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:ay+EsZ/8sMLDawNMJBPwgMJBJwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef3ac594b3c5902c |
|
VISUAL
aHash
|
fd81818181fffbf9 |
|
VISUAL
dHash
|
594145414d554343 |
|
VISUAL
wHash
|
fd81818181f9f1f9 |
|
VISUAL
colorHash
|
33000e00000 |
|
VISUAL
cropResistant
|
594145414d554343,82c0c19d9de280a2,e53783a32383a1a1,98c0a0808cb2a2a2,6f4d4d424a8a8b8e |
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)