Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124A25731A382E867119BC4EBE531E71F6286830ECDD7870AD6FD034E2BC4CA5DD56896 |
|
CONTENT
ssdeep
|
384:7ICEoZT4ZpdZHeZcdZT+Z81ZQ1ZuYZt2ZXUZq+ZwXZs7Z/iZDnZvOZ8xZEcZPpZ5:7IJj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9898d7d7c72228ce |
|
VISUAL
aHash
|
3c1819013c180000 |
|
VISUAL
dHash
|
69b2b39168300d6c |
|
VISUAL
wHash
|
3f1b1b0b3c3c0424 |
|
VISUAL
colorHash
|
00008000c00 |
|
VISUAL
cropResistant
|
cec6cc14cc984cb0,e7e7272c64acbaf2,4006687171693004,10041ab2b22a1804,69b2b39168300d6c |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.