Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBA306F6E2D4AA31F20367D0F191731712A7117ACB4BCAC8DBBC95B8A7D68894C33591 |
|
CONTENT
ssdeep
|
768:RbF5119FVCiW2p6kuhS5W9L/J0FfifbTNR55QdSbF5119FVgBASJ9gCBh44489Mg:4KSOgCBh44498 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2526ced6d413996 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
84e9c8c83f3a2d2f |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
1b203000000 |
|
VISUAL
cropResistant
|
273f3823232c1c2b,cc4009c9c8c8d9c0,ffffffffffbfefcf,7fffffffffffeff3 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.