Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFC27572A1107A3B02D3C3C57B61F36EA2E38289E755090553FD875E4BE7E50ED2392A |
|
CONTENT
ssdeep
|
768:VS5y5Np1CoA8csPVQ17sOy2+y9BH4cLIe:hTf27sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343bc3c9829e3e3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9cccc8c0ccc7e700 |
|
VISUAL
wHash
|
00f470702423ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0480800458988000,9cccc4cac0ccc7e7 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.