Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5D28672A184263B4197D2C8B722671EB3D3838DDBAA191293FC479D0BE7E10DD5345A |
|
CONTENT
ssdeep
|
384:Me/GLZ/giRraX3xyl3Xg9vKhrWgVcI2IFKE2IYsOy2+y9BH4cCUIe:Me/GLZy+g9yE3IFKR7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f53a914dc5c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c0cc041cdcd9300 |
|
VISUAL
wHash
|
00c4f0300f07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0c4864d9cdcd13 |
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)