Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A22C73EB12D317B455BC3EADB11725865DBA1EDA38105A478BB42F032A2DC9F94F5C0 |
|
CONTENT
ssdeep
|
192:LGKfrzIKDVf9WtpUAcAAx9yF22el29v2tZ2Y2Nj2O2PSis:CUrzjytZ22el29v2L2Y2NjZ2Prs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0dc34a67bf0589d |
|
VISUAL
aHash
|
0378faf070746700 |
|
VISUAL
dHash
|
97b4b281c3cdcc67 |
|
VISUAL
wHash
|
1178faf8f8f46700 |
|
VISUAL
colorHash
|
32601008000 |
|
VISUAL
cropResistant
|
97b4b281c3cdcc67 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.