Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8235AB26722B4B843DB91DEE7382846B2D5988DF8C74414F1C99ACE13C3C817297BB4 |
|
CONTENT
ssdeep
|
768:a8+EsZx8/G8l4IDawtMDB/owUMDB/BwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvQ:a8+EsZ/8uIDawtMDBgwUMDB5weN2/y9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf65e5e5c5c1c0c0 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
0f5f7d7d7d7d7d7d |
|
VISUAL
wHash
|
c3818383878f8f9f |
|
VISUAL
colorHash
|
01000000188 |
|
VISUAL
cropResistant
|
0f5f7d7d7d7d7d7d,0bffffffffffffff |
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.