Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C652EBA3C125AD3B564783E9A7887F8211659178C3971C0561FACBFE4EF2C61EC4E931 |
|
CONTENT
ssdeep
|
192:BdnBoCbGfNBzPk0ARUPVhOINt+L4kff6WMFGeQxVZWQBtbycfX9nXpFZeQxVZWQh:BDPG3P0S1Eee1z1ZXee1z1j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d99722666666671 |
|
VISUAL
aHash
|
1c1c1c3c18000000 |
|
VISUAL
dHash
|
7232727272446080 |
|
VISUAL
wHash
|
1f3f3f3e3c1030e0 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
80b0f0c0730f8c8e,7232727272446080 |
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)