Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B74223769214AA3B6263D7D9F3B2B75AF7818185CC83014AD6F5D36C2FE3D61EC0A205 |
|
CONTENT
ssdeep
|
96:DcpTXHUnoGyPs44mGjZzm4K4yYeydqEE8snpKP42wGgjdokVuhQaVHtBF4ejatSz:wprnFbOjUZiwt7aiopN5cTBrRq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de5e6161617c1e94 |
|
VISUAL
aHash
|
80809c9cffffffff |
|
VISUAL
dHash
|
2b38303003202024 |
|
VISUAL
wHash
|
80809c80fcfcf4f4 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
2b38303003202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)