Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111E2743160046B3F02ABC3C9B791F739A2E3818DDA4528054BFD835D4BEBE51DE5366A |
|
CONTENT
ssdeep
|
768:e0y5N4KRgCbTDwTJh50j97sOy2+y9BH4c1Ie:uRg0DwPE7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9412c7ed926975b2 |
|
VISUAL
aHash
|
3e1c06cfdff3f3fe |
|
VISUAL
dHash
|
e8f4bc3c3c030390 |
|
VISUAL
wHash
|
3c1c008ecfc3e1fe |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
e8f4bc3c3c030390 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)