Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FA37A33411935274437C6D130A55B3BD2A69A8FFAA70A010EECD7FB5BFACA0745B11A |
|
CONTENT
ssdeep
|
768:6ueXy5Ni8j0Lz4NP3+mZY9svblTOCVrZW+RFtiuCa28y2OZL:9j0Lz4NP/y9svbliCdESFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9168c50e |
|
VISUAL
aHash
|
00003000000000ff |
|
VISUAL
dHash
|
044cc4c6c8ccc3b8 |
|
VISUAL
wHash
|
c0eef660242079ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0300a08138188090,940cc4c6c8cccdc3 |
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.