Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171A37B33411935274437C6D130A55B3BE2A6D99FF9A70A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:pSy5N8vChLz4NP3+mZY9svblTOCVrgqRjsy6SFtiuCa28y2OZL:2ALz4NP/y9svbliCdDNFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c703993af46ad14b |
|
VISUAL
aHash
|
00302000000000ff |
|
VISUAL
dHash
|
4cf2c244444e41f0 |
|
VISUAL
wHash
|
207f7ff0a21200ff |
|
VISUAL
colorHash
|
31038000400 |
|
VISUAL
cropResistant
|
e210e00130308080,4ce6d24464466e41 |
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.