Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1E35531C6A50327D215478AE3DB3B5662DBD2C7CD527CA4F2B08179CBBAC482C76DA1 |
|
CONTENT
ssdeep
|
3072:nlbnDKsQrjylK2E6IOZuagKI3ImJS2QgIYLQICeIkPksuGIyIhuBn1Fq:lLDKsWQ5Idf3N/q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed16916a7990653d |
|
VISUAL
aHash
|
ffff00000000fbfb |
|
VISUAL
dHash
|
2dc2c22323672312 |
|
VISUAL
wHash
|
ffff00008000fffb |
|
VISUAL
colorHash
|
06e01000000 |
|
VISUAL
cropResistant
|
2cc2c22323672312,04829c9484949200,59456d45455d4585,d696969311131b59,890a0f0b1b191b11,accc45132b9b9a6c |
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 144 techniques to evade detection by security scanners and make reverse engineering more difficult.