Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FA36933411935274437C6D530A55B3BD2E69D4FFAA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:0oJILz4NP/y9svbliCdCFJiTflPFtiuCa28y2O9:kmA9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361c53a9e1abc69 |
|
VISUAL
aHash
|
00600000000020ff |
|
VISUAL
dHash
|
c8c7c3c8cd09c1f0 |
|
VISUAL
wHash
|
64f7782c250170ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0080812030808080,c8c7c3c8cdc9cbc2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.