Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13753623190046D3B52A3C2D1C774371E63D5A3DACE671A09AAF447789FC2E98EC277A4 |
|
CONTENT
ssdeep
|
384:5B6SRL/URx4+iFjN+CDpPqNIATH9bqCAYlH9ci77:4q+UjNVDp1mICAYlH9cE7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb5a826bb4b416a4 |
|
VISUAL
aHash
|
848080808080ffff |
|
VISUAL
dHash
|
0909181a03090a88 |
|
VISUAL
wHash
|
c4e88882c0e0ffff |
|
VISUAL
colorHash
|
02006000000 |
|
VISUAL
cropResistant
|
0909181a03090a88,c9f124c1878d9fa6,d2d9e96cea398966,d0c0a0f8f8b8bc94,191b113436029a92 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.