Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9334B736722787D83CB82DEB7392E45B6C5A48DE9870450B5D86ADD23C3C827187BB4 |
|
CONTENT
ssdeep
|
1536:ax+EsZ/82eAOCDTEe+tDTMRBNt3MRB/UXx+y9dQyDF1ZAU84HaXru:a+CjtDitoUXxpDzHyru |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aad4d596012ef5d4 |
|
VISUAL
aHash
|
fffffb0101010101 |
|
VISUAL
dHash
|
0b4b435b434b4bdb |
|
VISUAL
wHash
|
ffffff0101010307 |
|
VISUAL
colorHash
|
01006000080 |
|
VISUAL
cropResistant
|
0b4b435b434b4bdb,638c8cd2dee26619,808201829a0d3232,864005cdd1cfe5dd |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.