Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A325233E500DC6A8E9B528CF2C49589411ED345FB3248CAB1A091FF7BC5DF069997AD |
|
CONTENT
ssdeep
|
192:YB3JIdgp3nQbQFQOQUzYeuazOasMjx2McnthWeNWbzfMmUU8VCocF:Tgp3z8euVezfMmUFCocF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd3c3d6667605819 |
|
VISUAL
aHash
|
008f8fe7ffffffff |
|
VISUAL
dHash
|
1e3c180c08000000 |
|
VISUAL
wHash
|
0005048420303130 |
|
VISUAL
colorHash
|
07006000200 |
|
VISUAL
cropResistant
|
1e3c1c0c08000000,0000000000000000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.