Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5F3F7E193D0B2F99147D3E48726AC36374724FE6A01C6198FE95E959BB686C8CCCCC1 |
|
CONTENT
ssdeep
|
1536:ELpXkce2dGAeMUmevHoae1LeSL3eYeteWeaUeJCNekeyepze4LYwv7dzU8KsBmZ:AZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c444b93b666cb933 |
|
VISUAL
aHash
|
00ffff0020ffffff |
|
VISUAL
dHash
|
168090e4e480c4d0 |
|
VISUAL
wHash
|
007e7e00003f7f7f |
|
VISUAL
colorHash
|
0e001000180 |
|
VISUAL
cropResistant
|
9614c094c0808080,e4e4c920c0d0c0d0,619680c08090e464 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)