Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8125223A600DD2A8D9B95C8F2C09589411DC349FB3148CBB1A491FF7BC4DF069AA7AD |
|
CONTENT
ssdeep
|
192:+33JYd7r7HlxHAMcnthWeNWbnfMmUU8VCoAI:/7rvfMmUFCoAI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8909e1e351e2f766 |
|
VISUAL
aHash
|
1818181800ffffff |
|
VISUAL
dHash
|
b2b2b2b2320c0000 |
|
VISUAL
wHash
|
1818181800ffffff |
|
VISUAL
colorHash
|
0e0001c0000 |
|
VISUAL
cropResistant
|
e2e092c096966b02,0000000000000000,b2b2b2b2a2b2b233 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.