Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5C28571A1406B3B02A7C2D97761772FA2E38249E7491A1243FD876D0FDBE50ED33929 |
|
CONTENT
ssdeep
|
768:LeeplGwGQz09UCvVZL7sOy2+y9BH4crIe:RlKEKRf7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3419432bc3c96ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccc8c0c8c8cccc00 |
|
VISUAL
wHash
|
06786060444effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cc8c0c8c8c8cccc |
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.