Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161E2C516716C293F061B03C8EB1637A5362B81CDAA04472461A7CB396D7DFC6DD2A4EE |
|
CONTENT
ssdeep
|
384:dDpmKbK0OA+hx9N9l/XoKNTzmocGrFhUaevIJFuvEYOY5CKL:NIKW0gx9NIKNfDcGB9evENKL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e61bd1643e9964c3 |
|
VISUAL
aHash
|
e3e3f38383d3f3f3 |
|
VISUAL
dHash
|
4606662525264646 |
|
VISUAL
wHash
|
e3e3e3818183e3e3 |
|
VISUAL
colorHash
|
07000230000 |
|
VISUAL
cropResistant
|
4606662525264646 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)