Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FF2B471A104367F2297C3C8B321FB2EB2E39289DB46041552FD835D4BE7E90ED2756A |
|
CONTENT
ssdeep
|
768:bFd9y5NnezgZM/OR0Zdq0tOweNwN8lbLMvCRXBsuc7SgWuQGnTcPI/yeF7sOy2+o:3OO7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
876afa35b81285ad |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1043c1c9e646c800 |
|
VISUAL
wHash
|
80f0793c0202ffff |
|
VISUAL
colorHash
|
39600010008 |
|
VISUAL
cropResistant
|
5800880258988000,504143c9eac6c6c8 |
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.