Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C61C528A1500DAEB443C3B0F394BF6A685DC34BC68B1299F6F8C079A392D25CD166A0 |
|
CONTENT
ssdeep
|
48:THrNmTNMzc2hx7Pup1ZcY/E+hFlbK5DXPp4QKruENcWK6oHSENcWKXNC/HN:TxNf72rTO5XPp4Q8uqDHNC/HN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f30ccc3399cc6699 |
|
VISUAL
aHash
|
00c0f8f8e4e4feff |
|
VISUAL
dHash
|
00002820084c3000 |
|
VISUAL
wHash
|
8080d8f8f8e0fcfe |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
00002820084c3000 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)