Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A4302B6242C746E251793C879A0BB2CD0C7F20BCF561FA114EFD739E342E75A425A1A |
|
CONTENT
ssdeep
|
384:+vQqZL9RU+r6l3EEWQQgTItve6gFtJ4Mr6GseeezfKxT4g9nbML7O2ITINnu6gpk:+IqZL9RUR37TItHgbRseee9XsTINvgd0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bec13e3e4b4a0e32 |
|
VISUAL
aHash
|
bdffffff87878783 |
|
VISUAL
dHash
|
69160f273d2c2d2f |
|
VISUAL
wHash
|
00c3e7f787878783 |
|
VISUAL
colorHash
|
06002040040 |
|
VISUAL
cropResistant
|
69160f273d2c2d2f,e39d24767666a5d9,4020d0d0d0d02040,4e5479bbdac2e3cb |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.