Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166A38A33411935274437C6D530A55B3BD2A69A8FFAE70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:WeXy5NmltZ4Lz4NP3+mZY9svblTOCVrazlW9FtiuCa28y2OZL:/tSLz4NP/y9svbliCdiUFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9169c702 |
|
VISUAL
aHash
|
00006000000001ff |
|
VISUAL
dHash
|
044ccccacccdc398 |
|
VISUAL
wHash
|
c0fef662042071ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0300a08138188090,940ccccec8cccdf3 |
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.