Security – How can an LN node acquire in-depth liquidity? Is there a systemic risk?

I once heard that LN can support channels with two funds. It does not seem so complicated, but at present I do not know any LN wallet that supports the creation of two-fund channels.

By the way, I'm also worried about security: will dual-funded channels introduce systemic risks / attack vectors? For example, if an attacker could already make a 51 percent double-spend attack, could he use the incoming liquidity to multiply his profit?

Are there any security risks in accepting HTTP / 0.9 style GET requests? (eg "GET / r n")

I write a web server for fun and add support for HTTP / 1.0. The main reference I use is RFC 1945 => Hypertext Transfer Protocol – HTTP / 1.0.

In Section 5.1 of the RFC, I learned that HTTP requests require a single row, a GET method, and a URI (for example, GET / r n). The RFC calls this a simple request.

Is there a security risk in modern HTTP servers to accept and answer a simple request? If so, what are the risks?

Python Coding with Security Depth – Code Review Stack Exchange

import base64
Import mime types
import os
import hashlib
import hmac
import requests

of django.core.urlresolvers import the other way around
from django.http import HttpResponse
redirect from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt

def ordenary (s):
return s.strip (). replace (& # 39; & # 39 ;, & # 39;) .lower ()

def form_of_message (request):
env = {& 39; message & # 39 ;: request.GET.get (& # 39; message & # 39 ;, & # 39; hello & # 39;)}
Answer = render (request, & # 39; forms / message_form.html & # 39 ;, env)
response.set_cookie (key = & # 39; message_rendered_at & # 39 ;, value = time.time ())
Return reply

def proxy (request):
url = request.GET.get (& # 39; url & # 39;
Forwarding (URL)

def compute_hmac_signature (message, key):
Key = bytes (key, & # 39; UTF-8 & # 39;)
message = bytes (message, & # 39; UTF-8 & # 39;)

digest = hmac.new (key, message, hashlib.sha1) .hexdigest ()
Returns "sha1 = {}". format (str (digest))

def user_pic (request):
"" "A view that returns the user's avatar image." ""

Base path = os.path.join (os.path.dirname (__ file__), & # 39; ../../images/avatars & # 39;)
Filename = request.GET.get (& # 39; u)

To attempt:
data = open (os.path.join (base path, filename), & rb & # 39;). read ()
except IOError:
Return rendering (request, & # 39; templates / avatar.html & # 39;)

Return HttpResponse (data, content_type = mimetypes.guess_type (filename)[0])
 

Internet security from SendMail

I'd like to know if there's a way to make sure emails sent by Mathematica are encrypted Transit and at rest,

Use Gmail or Yahoo account servers for Sendmail"I really want to know more details about the security of e-mail payloads sent by SendMail[] from both Mathematica and Mathematica Online accounts (Wolfram1 / Open Lab / Dev), e.g. About PGP, TLS, MFA, and more.

Links, documents or undocumented notes would be helpful.

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App Windows – Nsauditor Network Security Auditor 3.0.29.0 | NulledTeam UnderGround

Nsauditor Network Security Auditor 3.0.29.0 | File size: 10.40 MB

Nsauditor Network Security Auditor is a network security and vulnerability scanner that monitors and monitors network computers for potential vulnerabilities. The network is scanned for any potential hacking methods that attack them, and a report is made of the potential issues found. Nsauditor is a complete network software package that includes more than 45 network tools and utilities for network monitoring, scanning, network connection monitoring, and more.
The

Nsauditor Network Security Auditor – Advanced All-In-One Network Tools Suite! Nsauditor is a comprehensive suite of network utilities that includes more than 45 network tools and utilities for network monitoring, scanning, network connection monitoring, and more. Nsauditor Network Security Auditor combines Network Security and Vulnerability Scanning, Network Monitoring and Network Inventory in one product. It enables monitoring of network computers for potential vulnerabilities, verifying corporate networks of all potential methods that a hacker attacks them, and creating a potential report of issues that have been found. Nsauditor helps network administrators detect vulnerabilities and errors in their networked systems. The program also includes a firewall system, real-time network monitoring, packet filtering and analysis. Nsauditor dramatically reduces the overall network management cost of a corporate environment by allowing IT staff and system administrators to capture a wide range of information from all computers on the network without installing server-side applications on those computers, and to report on potential problems A network monitor provides one View the locally running services with options that can engrave each connection and analyze the remote system, disconnect, block unwanted network connections with incrusted firewall, and display data in the associated process.

What's new:
The official site does not contain any information about changes in this release.

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The

Disclosure – How do you deal with a white hacker claiming a security hole?

To answer any of your questions:

1. Basically, how should we proceed or should we even?

I recommend to continue. You get valuable information that can be used immediately to improve the security of your business. They did not tell us what the researcher sent you, but they either have a description of the vulnerability or methods to reproduce. To continue, you need from them:

  • A description / attack scenario of the vulnerability found. Why is this a problem? What allows an attacker to do exactly what he should not do? What is the worst case / severity of the finding?

  • Reproduction steps. What steps could you give each engineer so that he can reproduce the error each time?

  • What the hacker is looking for in return. As mentioned, it may be that permission is given to publish the determination after the correction or after the money.

  • You may or want to receive correction instructions, risk assessments, etc. from the researcher.

VERY IMPORTANT: Make it clear to the researcher that you expect the issue to be kept confidential until the problem is resolved. You can use a correction window, eg. You can publish and publish articles if the problem is not resolved within 60 days. This is common practice and should be acceptable to most companies with a strong security record.

2. What is the general expectation of a white hacker?

Depends on the researcher, but he will probably want permission to publish the result as soon as it has been fixed, as well as a financial reward. The awards are based on the overall severity and scope of the bounty program. Hackerone, a large bug bounty platform, has a matrix that suggests payouts relative to the size of the company / bounty program: https://www.hackerone.com/resources/bug-bounty-basics. Determining the payout price is a subtle art. I recommend that you search Hackerone or other bug bounty platforms for similar errors and base your payoff on what other companies are paying for the same problem.

Again, researchers' common expectation is that they can publish the finding in a given time, regardless of whether it has been remedied by then. 60 days is common, but I would not agree to a time span if you're not sure your business can deliver in this window. After the issue is resolved, the hacker wants to verify that the fix has been implemented correctly.

3. How to validate?

Use the steps the hacker gave you. They should be clear enough that every engineer can follow the steps exactly and reproduce the mistake. If there are problems here, you can return to the researcher and get some clarity. It is the responsibility of the researcher to provide the company with reproduction steps that describe and identify the error.

Once the problem is resolved, you can invite the researcher to review the fix and ensure that it has been completely patched.