Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FE34521C6A41733D20A07CED7AB775522AAC2C7CC9278E8F064827597BEC8C5D77DA1 |
|
CONTENT
ssdeep
|
3072:TWeKVrjylK2E6IOZuagKI3ImJS2QMIYLQICeIkPksuGIyIhuBn1k073:TlK5Q5Ixf3NeI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed16b5926a934725 |
|
VISUAL
aHash
|
fff1000000f1fbfb |
|
VISUAL
dHash
|
afa2622325631213 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
2ba2632367a31213,00020c0404040304,9696969313531b59,8202020606060606,accc44132b6a9a4c,1f0d0d0c8f232664 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.