Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFA37A33411935274437C6D530A95B3BD2E69E4FF9A70A010EECD7FA6BFACA0744A11A |
|
CONTENT
ssdeep
|
1536:LbNLz4NP/y9svbliCdw3iSQgMjjWFtSuCa21G2AE:FmAa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d53aba4eb841 |
|
VISUAL
aHash
|
00600000000030ff |
|
VISUAL
dHash
|
c8c3c3e9c9c9c3f2 |
|
VISUAL
wHash
|
68f7703c310078ff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
5080a10030108080,c8c3c7e9cdc9c5c2 |
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.