Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FC2A631B1447A3B51A783C9B761E76FE2E2420ADB86041953FCD3AD4BE7C94DE23129 |
|
CONTENT
ssdeep
|
768:ySkZAD5NAEtTiYhxbOR7sOy2+y9BH4cLIe:JvtY7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc6dc54696ba |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
c4c8ccccc8e0cc00 |
|
VISUAL
wHash
|
00006e7c7038ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0880800458988000,c496c8ccc8c8c0cc |
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)