Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FF156928404641B022645CE6563BB4A35C3E3859B66184066DD83BB6BDFAF0ACAF3D7 |
|
CONTENT
ssdeep
|
96:T84T4Xs0gnfsJsZdSda0YiIFj3PXn4pMuIFduzGV/8yA37IF2z3NgEJ1oLQU:A2oiwQ0YDNfoqXT1SP30Qz3Nv4p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0303c47c7cb5373 |
|
VISUAL
aHash
|
00c3c3ffe7ffffff |
|
VISUAL
dHash
|
1e1e9e1e4d0c0008 |
|
VISUAL
wHash
|
00c3c0c0c0e4f0f0 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1e1e9e1e4d0c0008,0000804040404040,2fd7e6f6d4f7f686 |
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)