Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184234AB26732B4A843DB91EEF73C2D56B2D2588DF8C74454B1C95A8E23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aM+EsZx8/G8S4BDawUM5B3wEM5BMqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAz5W:aM+EsZ/8lBDawUM5B3wEM5B1N2/y9dGV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6e94816b94c563 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
71714d4949000000 |
|
VISUAL
wHash
|
8181810081ffffff |
|
VISUAL
colorHash
|
1e0060000c0 |
|
VISUAL
cropResistant
|
71714d4949000000,32f07082c0d4d4d0 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.