Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138B1777421100D2EA587C3B8F760BB5932E9D283CD6B564DD1FD827A7AC6C89DC166A0 |
|
CONTENT
ssdeep
|
96:TqZ4oK/lBLbBTh4Qgvd2lzd7eH2lzw7guVev41h2ZTyxXzPZ9Ec4R:WZ6BLbBThqoFw8mevJZabzi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb0fc4f0c46b3196 |
|
VISUAL
aHash
|
ff8f0f0f0f0f0fff |
|
VISUAL
dHash
|
045b7b5b7b1a5a00 |
|
VISUAL
wHash
|
2f0d0f090f0f0f0f |
|
VISUAL
colorHash
|
070000081c0 |
|
VISUAL
cropResistant
|
045b7b5b7b1a5a00,30787173713cdce8,8e8c2aee6969ce8e,9f9eaced9c94a1b3 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.