Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AED2C532B1006E779197D2C9B7A1E75FA2E3528AEB83054552FC83BC4BE7C54DE6301A |
|
CONTENT
ssdeep
|
768:iSkZ7z4iAJ9JDHcNDO787sOy2+y9BH4crIe:4aJjw7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc6dc54293ba |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccccc8c0c0c0ec00 |
|
VISUAL
wHash
|
00003c7c7838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
6080800458988000,ccc6c8c8c4c0c0ec |
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.