Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18723A73218CD5F2715D393C89340AB5BE3D5C448A27AC59AF5DBC31B2AC5DD8C82AF98 |
|
CONTENT
ssdeep
|
1536:Zv3SHcOSfKpE+BUitwlHRdfemwQ8nFnRpPf1RR9v3SEH9KO:EzExGiEMO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9469ceb6eac99486 |
|
VISUAL
aHash
|
ff00000006363636 |
|
VISUAL
dHash
|
71f0c4f0ecececec |
|
VISUAL
wHash
|
ff187e000636367e |
|
VISUAL
colorHash
|
02200000030 |
|
VISUAL
cropResistant
|
0001416363490002,84c4c0b4a00e1c88,72f0e0f0e0e0c8c8,32d4d4fcecececec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.