Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACF3EF619B06045B7503439762627BBEC2BA6ED1EDB34D4CB27F8012376CCA84F975CA |
|
CONTENT
ssdeep
|
1536:eSOY8fka+eHLn6SkyFUjd0IVqKjF5jL+SOkca4jlZNqyLnNpCqDo3fNXqHSo:eSOY8fkVxXXoLCxg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98846b3a667af147 |
|
VISUAL
aHash
|
007fff1e00cf0800 |
|
VISUAL
dHash
|
e5f0b2b4d4b9b9cc |
|
VISUAL
wHash
|
007fff3c04df086c |
|
VISUAL
colorHash
|
312c0000000 |
|
VISUAL
cropResistant
|
869b9d1011a1a5e6,e5f0b2b4d4b9b9cc |
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.