Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101F2773161007A3B919B83CD7762E76AE2D34345EA4A090583FDD3AD9BE3D50EE2351E |
|
CONTENT
ssdeep
|
768:95y5Numths4QPVRqtH7G5Ku6627sOy2+y9BH4crIe:Gth0NRwq5KuC7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c54d92786db2 |
|
VISUAL
aHash
|
3b1f87cfcff0f0fe |
|
VISUAL
dHash
|
e2b73f1d2c2612d8 |
|
VISUAL
wHash
|
3b130787c7c0c8fe |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
e2b73f1d2c2612d8 |
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.