Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFA37A33411979274037C6D530A55B3BE2A6DD4FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:28y5N4FIhsLz4NP3+mZY9svblTOCVrbwKSl7u1+FtiuCa28y2OZL:B8sLz4NP/y9svbliCd85FtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac5c7926898ba |
|
VISUAL
aHash
|
3f138f8ffff3d0fe |
|
VISUAL
dHash
|
e3b63c3c1c2612b8 |
|
VISUAL
wHash
|
1f030f8f87e0c0fe |
|
VISUAL
colorHash
|
07006000018 |
|
VISUAL
cropResistant
|
e3b63c3c1c2612b8 |
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.