Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183239813930C547B22A743ADB708BF06E142C40AD74F5ACDF4F9819A76C9FD8697225A |
|
CONTENT
ssdeep
|
768:z4z4L4gzPRTcazFXRSiRReaEwGfmhkdGj/Mr5ogZS00sXvdepff+aBx2mBBU+s7T:lzPRTcazFXRdRReaEwGfmhkdGj/Mr5oo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd273c9c9c2c9686 |
|
VISUAL
aHash
|
81c1e7c3ffff81c3 |
|
VISUAL
dHash
|
332b0e16080f2b27 |
|
VISUAL
wHash
|
8181e7c3ffe78181 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
332b0e16080f2b27,004023d4dcb40200,200cb2b2b2300810 |
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 947 techniques to evade detection by security scanners and make reverse engineering more difficult.