Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4235CB26722B87843DB91EEF7382955B2D1489DF8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:at+EsZx8/G8Y4jDawNMcBGw9McBnr82+/9dtZkDieE565TmHEnkvdhfVPqDv3AzE:at+EsZ/8LjDawNMcBGw9McBr82+/9dty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33393c6648a8bcd |
|
VISUAL
aHash
|
85818581c3ffffff |
|
VISUAL
dHash
|
191d1d1717000000 |
|
VISUAL
wHash
|
8100818181ffffff |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
191d1d1717000000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.