Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133A38B33411935274437C6D530A65B3BD2A6998FFEA70A010EECD7EB5BFACA0744B11A |
|
CONTENT
ssdeep
|
768:vyeXy5NmZa1lhqLz4NP3+mZY9svblTOCVrM+hFtiuCa28y2OZL:6+Lz4NP/y9svbliCdMwFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc38912dc543 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
0c4ccccac8cd8398 |
|
VISUAL
wHash
|
80eef6202400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
8000a08138188090,840ccccec8cce503 |
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.