Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFD2967171007A7B519BC3CEB762B32FE2E3920ADA86046593FC83AD47D3D54DA23129 |
|
CONTENT
ssdeep
|
768:msSkZ9r04gc2kXxsaagVC3fDX7sOy2+y9BH4cLIe:L02L0X7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c262ed6d9842d3e3 |
|
VISUAL
aHash
|
000024040000ffff |
|
VISUAL
dHash
|
dcccccccc8c0c300 |
|
VISUAL
wHash
|
406466740c30ffff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
ceeec03434c4dede,0080800458988000,cc8cccccecdcc8c6 |
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)