Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195513036B820491F637B5550B8E76709947AC30FC65F6E20F2BCA2B665D1EE0807B661 |
|
CONTENT
ssdeep
|
48:biNGeZWkLDkvkpMGMXsT/Nnd5S3QBaqhsjaP1I3mGo5:bHcuiMGMXolfS3Qls2NI+5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d5037601d6976e3 |
|
VISUAL
aHash
|
0000ffffff8181bf |
|
VISUAL
dHash
|
82924d3232053363 |
|
VISUAL
wHash
|
0000ffffff01811f |
|
VISUAL
colorHash
|
0e180018000 |
|
VISUAL
cropResistant
|
b2ccccb2ae33338a,82924d3232053363 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.