Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E12975404D269AE44A291D34331AF6673E4A06EC7E30B2485AFCF1F0ED9ED9F8035D9 |
|
CONTENT
ssdeep
|
192:kN+1Q9zfX4z9n0fXg+kw7fXyBkuZn224igLodKZxpZtZtZnjY:kN+y9zfX4x0fXvfXyxnB4UdKZxpZtZtO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
959331eb6c4cc5c9 |
|
VISUAL
aHash
|
2f0e3e94f8638181 |
|
VISUAL
dHash
|
5cdcd42072cf3396 |
|
VISUAL
wHash
|
2f0e3edcfce18181 |
|
VISUAL
colorHash
|
02000008c40 |
|
VISUAL
cropResistant
|
4818d630341e1c34,d0a0a490d0e13c1e,dbd36e69ce2e6a1b,9292921313939292,d080181b355c8090,5cdcd42072cf3396 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.