Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3B256A0C685683349A787D5A5F79B0B72E6522EF7331A8003F9D79E4FCEC40E825578 |
|
CONTENT
ssdeep
|
384:pFDivlEmVB9gYyYEgtLb1Q1YYSSArsE8kyakKbEtieR/keDipSgxeeNBqSXWrxWu:pFx2IqgazutDQcref1XWrxWOWYX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96676d989267c952 |
|
VISUAL
aHash
|
0000363e0e0e0000 |
|
VISUAL
dHash
|
3e5e4ccc5c3c767c |
|
VISUAL
wHash
|
06067e7e3e1e0e0f |
|
VISUAL
colorHash
|
0b006000000 |
|
VISUAL
cropResistant
|
c7b4b55715b5ebca,8eb4b8f2bcb2b28c,3e5e4ccc5c3c767c |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)