Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2234AB26722B4A843DB91DEF7382D46B2D2589DF8C74414F5C99ACD23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:ap+EsZx8/G8B4uDawCM5B+w2M5BvwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAn:ap+EsZ/8yuDawCM5B+w2M5BvweN2/y9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3f2fc0c0c0c0 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
77771d1751000000 |
|
VISUAL
wHash
|
00000081bdffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
77771d1751000000,fffff3f3fffbffff |
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)