Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E872F160479EA89F1102F08BE918BF0EBED641FEBF7B571611D05E7F3AE2424C929215 |
|
CONTENT
ssdeep
|
384:TSif4XAHAl44MUxOx2g6IgkwxnIc9VsjJdX7+8FdEk2vbe+k01LlGiqNAlVqmzO:kX544eMgmJFPGJdLf6DBGi5l1zO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cc1eee2d9ec0334 |
|
VISUAL
aHash
|
ffff000000049f9f |
|
VISUAL
dHash
|
207cf6b2d8192626 |
|
VISUAL
wHash
|
ffff02000004bfbf |
|
VISUAL
colorHash
|
0f402000000 |
|
VISUAL
cropResistant
|
006722d87cf6f6b2,f6f2bad8d9392626,8c3e76e8909082c4,7cf6f6b2b8d8d919,38a444a4a4d8a892 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)