Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A892EAB5635427BF70CB82E2E6A067BAF2B4C195DA178A69F3EDC25513D3C04CE46260 |
|
CONTENT
ssdeep
|
384:E9JUCmQXcLIhcIZ7xuRbLuFqq9A4KIAjygSu+j4CvpeifXN8RxsGrHg+1YL6dFF:ExmQsLW7xuRbLuFqq9A4KIAjdSu7Cvpi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9922668bdd8ad98e |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
cc14b2b2b2b2222a |
|
VISUAL
wHash
|
7f839f1818ffc300 |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
8cb6bafa9afafafa,cc14b2b2b2b2222a |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)