Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136F314734619353B4533C2D530695736E2828A4FEEA64A014FFCD7EB67EACA0B877109 |
|
CONTENT
ssdeep
|
1536:VYMEQBVk8EOxqFZRTksPEGIhIEBa43jo+gHfev3/j52vOCG7F1L+IF9yJNqkP:V8BbjV/ef/jzUIF9kNqe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9253ed3f12e14996 |
|
VISUAL
aHash
|
00000406040effff |
|
VISUAL
dHash
|
cccccccccccc232b |
|
VISUAL
wHash
|
0000240e0effffff |
|
VISUAL
colorHash
|
32006000000 |
|
VISUAL
cropResistant
|
808080e060808080,8080806060808080,808080d0d0808080,a2a28eccccb2a2a2,542aaa022b2b2b2b,dcc3cccccccccc8c |
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 102 techniques to evade detection by security scanners and make reverse engineering more difficult.