Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE1462A0A1852A3F553F89C8B5A67B2972FD52E4F81920145BFC5AF48BDFCC0742BC81 |
|
CONTENT
ssdeep
|
1536:llx8FA4P6V1sWTb0eedjq5STb0PeedLxOTeedVBmmjTb0eedzXbR3eedtxvoeedR:06V1e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b84747476763c398 |
|
VISUAL
aHash
|
0000cfcfdfcfcfdf |
|
VISUAL
dHash
|
62b4b8bf37373737 |
|
VISUAL
wHash
|
00000ccfcfcfcfcf |
|
VISUAL
colorHash
|
07080007000 |
|
VISUAL
cropResistant
|
62b4b8bf37373737,0101234c545454a9 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)