Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19171415970088C1D4177D3EAE6A0BC0286C1F793D9A844B1B06FC13D1EE3EB0F6879A4 |
|
CONTENT
ssdeep
|
48:493Dd2EIHdJb1efncjMjNwjtjBjTjzZG/GGn/tw0fDuTQSE0bz8K:63J2EuJ4l/tNfbyb5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
991919b326e666e6 |
|
VISUAL
aHash
|
000000ffffffff00 |
|
VISUAL
dHash
|
9a9a69000c0c0004 |
|
VISUAL
wHash
|
000000ffffffff00 |
|
VISUAL
colorHash
|
17000038000 |
|
VISUAL
cropResistant
|
258a35555b0bc835,080c080c0c100000,04995a9a9a189b24,0000000000000000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.