Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A272B7B56490F63E40C382E9BF7157AF62A99182EFA60205D2FD834C4ED7CC5ED26970 |
|
CONTENT
ssdeep
|
192:C44/Wox5QZr+amJ4bA6Js/mab1Nzx5QZrbPNmUx5QZrNu25QZr5x5QZrOMQb:C44/Wso+amQAos/mabjLobHoYKo1oOBb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c08f6e7e02ce2f6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
aff1f3f3cd083222 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
00002023238800ff,40a698e8eea28140,724c8c54762a2a30,fffff1f3f9f3f3ff |
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 185 techniques to evade detection by security scanners and make reverse engineering more difficult.