Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A235B726322B8A843DB91DEFB382D56B2C5589DF8C74450F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ax+EsZx8/G8+4FDawiM5BwwpM5BJwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAn:ax+EsZ/8pFDawiM5BwwpM5BJweN2/y9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a1ae5e50e1be1e1 |
|
VISUAL
aHash
|
3c1c3c3c3cffffff |
|
VISUAL
dHash
|
6979797969006000 |
|
VISUAL
wHash
|
00040c1c0cffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
6979797969006000 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)