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HTTP 499 Error Code

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499 error code

A non-standard status code introduced by nginx for the case when a client closes the connection while nginx is processing the request.

Often you’ll see requests appear with a status code 499 while browsing at your pull zone logs. Although this may seem alarming, 499 errors are common and often occur over connections such as mobile networks that can suffer from a load interruption etc., or even when an ad blocker blocks a file request, for example.

These are not codes that are not directly returned to the user, 499 is just an internal server code that indicates that before processing the request and receiving the reply, the client closed the connection.

Table of Contents

What is 499 Code Error?

The Minds behind NGINX, a high performance web server, developed the error 499 code. As a popular web server, NGINX developed 499 code HTTP error to manage their unique error. To begin with, HTTP error 499 is part of a large list of HTTP error codes, all linked to different online activity requests. Different organizations link to each other and ask for unique data. HTTP error 499 simply means the client, the recipient of the request, did not complete the request. The 499 error code focuses on client-related mistakes as opposed to other error codes relating to prohibited requests or missing data.

This is not unique to HTTP error 499. There are various reasons why the request could not be processed by the client, and a 499 error code ended up. An example of an incident that contributed to HTTP code 499 is that the client had to shut down on data traffic. It is quite likely, for example, that a content delivery network needs to close the request as it is already filled with certain data-related problems, such as a high volume of cache. HTTP error 499 happened because the content delivery network had to deal with further internal problems during the request process and as a customer it had to cancel the order.

Where can i see 499 error code?

Usually HTTP code 499 appears in NGINX logs. NGINX 499, being a web server, is able to identify that the problem is not in the server itself, or the entity that sent the request. HTTP error 499 basically means the client shuts the request through the server in the middle of processing. The 499 error code puts better light on something that happened to the client, which is why the request is not possible. But don’t worry: HTTP answer code 499 is totally not your fault.

499 error complete overview

As has been created, HTTP code 499 is not the fault of the server or the requesting party, and maybe not the fault of the client either. For various clients HTTP code 499 may occur differently. Earlier it was established that the client could be a website or an app, and these two experiences errors differently. Too much traffic could have been loaded on a website leading to HTTP code 499, or the request was from flawed algorithms that caused problems within the website. Due to faulty programming the HTTP error can also occur. Many applications are web-based, for example, and the server must make the effort to reach out to its cloud users. There was however a problem with the online app coding. HTTP error 499 occurs due to faulty code, as the application can not process the request. This is yet another example of how the web program, the client, led to HTTP code 499.

Learning on Consumer Errors

HTTP code 499 is only one of many error codes connected to the application. In general, the error codes are classified into five categories, labeled in their 3 digits by the first number. Those are all client-based errors for codes 400-499, meaning the server request can not be done at all due to client side issues. The most common group in which HTTP error 499 belongs to is the error 404: File on Found. Unlike HTTP code 499, the 404 code is very straightforward and definite, while the 499 error code generalizes simply that the client can not complete the server request.

If you are interested in learning more about HTTP error 499 and other codes, then it would be a good idea to study how server logs work and how the information stored in such logs can make sense. It will also give you more insight when finding particular clients, such as apps and websites, that end up with the most HTTP code 499, so you can be more aware of what apps and websites you want to visit. Yet being familiar with the 499 error code and other codes in general will help you access the Internet easier.

How to Fix NGINX Timeout – 499 Client Closed Request?

A long-running script that I was trying to load apparently kept “timing out” and leaving a blank screen. There were no records of any errors and I was quite perplexed. I checked every one of the following:

PHP

  • max_execution_time set to 0
  • max_input_time set to -1
  • memory_limit set to 4G

NGINX

  • fastcgi_send_timeout 6000 seconds
  • fastcgi_read_timeout 6000 seconds

Even stranger, the only mention of the issue in the php / nginx logs was an entry in the nginx log with the HTTP status code 499-” “Client Closed Request.” Initially, I thought my browser was destroying the link after some time, but that didn’t seem to be the case.

There are several HTTP error codes out there, so let’s think about the 499 error code out there. We may also refer to error code 499 as HTTP code 499, or error 499 in HTTP. Yet the 499 error code, whatever you call it, is something worth knowing. HTTP code 499 can occur at any time without you knowing it, so let’s get started with the HTTP error 499.

Source: https://cybersguards.com/http-499-error-code/

Cyber Security

‘Hidden Property Abusing’ Allows Attacks on Node.js Applications

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A team of researchers from Georgia Tech find a new attack technique that targets properties in Node.js and plan to publicly release a tool that has already identified 13 new vulnerabilities.

A team made up of security researchers from the Georgia Institute of Technology has found a way to exploit Node.js applications by manipulating the hidden properties used to track internal program states, the group plans to announce at the virtual Black Hat USA security conference next week.

The novel attack technique, dubbed Hidden Property Abusing, allows a remote attacker to inject new values into Node.js programs through passing objects that the framework, under the right circumstances, will treat as internal data. Using a tool to analyze a sample of 60 major Node.js components, the researchers found 13 vulnerabilities — ranging from SQL injection to the ability to bypass input validation.

The tool, dubbed Lynx, will be released at during the virtual Black Hat USA security conference, says Feng Xiao, the primary researcher and a doctoral student in the School of Computer Science at Georgia Tech.

“Our attacks focuses on certain program states or properties defined by the developers, such as the user ID or other program features,” he says. “We found that this attack pattern is pretty common, but they can be complex to find, so we built the tool to help others.”

Hidden Property Abusing takes advantage of developers’ assumption that the internal program states are unreachable by an external attacker. The root cause of the problem is that “[a]fter the input data is converted to objects, Node.js treats them as legitimate objects like any other internal ones,” the researchers state in a yet-to-be-published paper on the topic. 

The attack technique is similar to JavaScript Prototype Pollution, in which an attacker modifies a prototype object that is then merged, changing the base prototype of an object — changes that are then propagated to other JavaScript objects based on that prototype. In the case of Hidden Property Abusing, however, the prototype is not changed, but the properties inherited from a prototype can be overwritten, the researchers say.

“These parameters sometimes associate with some critical program states, but nobody knows their existence until an attacker exploits them, so that is why we call them hidden properties,” Feng says. The research team consists of six students and Wenke Lee, a professor of computer science at Georgia Tech.

Node.js is an extremely popular platform for running JavaScript code in a server environment for cloud-enabled applications, with more than 51% of developers claiming to use Node.js on a regular basis, according to the 2020 StackOverflow Developer Survey. Some 70% of developers have designated Node.js as their primary application platform, according to security firm Snyk’s open source technologies survey. Companies from Netflix to Trello to Microsoft’s LinkedIn use, or have used, Node.js as a framework for some of part of their services.

Making the impact worse, Node.js relies heavily on dependencies. A single component can import dozens of other components, and if one of those packages are vulnerable, the original component will be vulnerable as well. In a recent report, software security firm Veracode found that the average JavaScript program imported 377 libraries.

“[D]ue to the heavy reuse phenomenon in the Node.js ecosystem, a huge number of Node.js applications may be impacted if a widely-used module is found to be vulnerable,” the report states.

The Georgia Tech researchers’ attack technique takes advantage of the fact that communications between the server and client sides of a Node.js application are usually done with JavaScript objects, because of built-in features that make such communications easier and allow for more complex data structures to be passed between components.

However, if an attacker can send objects with extra properties, they can enumerate hidden possibilities that could then be manipulated to attack the application. Hidden properties often represent the internal program state and changing them can have an impact on the program’s security, the researchers say.

“In our analysis, we find the replaced property can be any data, such as a critical function or a key program state,” the report states. “Thus, the attacker may abuse the propagation process … of a hidden property to powerfully manipulate critical program logic associated with the compromised property.”

To help developers identify potential attack vectors in their own Node.js application, the research team has created a tool, dubbed Lynx, that will be released during the Black Hat Security Briefings in early August. The tool identifies potential vulnerable properties by propagating fake parameters to enumerate and track the use of properties in the code.

“Lynx combines the advantages of static and dynamic analysis to track property propagation, identify hidden properties, and generate corresponding concrete exploits,” the paper states.

The 13 vulnerabilities disclosed by the team were discovered using the tool to evaluate 60 popular Node.js programs. Using Lynx, the group found 318 candidates for hidden properties, with more than two-thirds of the programs containing such properties. Then, using dynamic analysis, the researchers were able to identify likely vulnerable properties.

“For Lynx, we track the data flows of the user and we statically analyze the propagation to find potential data dependencies that the attacker could create,” Feng says. “Two groups of people should use the tools: The developers who develop APIs can use ours tools to attacks their own program and fix the program by building or deleting these hidden properties, and security researchers — white-hat hackers — can use the tools to find potential issues in open source programs.”

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Register now for this year’s fully virtual Black Hat USA, scheduled to take place August 1–6, and get more information about the event on the Black Hat website. Click for details on conference information and to register.

Veteran technology journalist of more than 20 years. Former research engineer. Written for more than two dozen publications, including CNET News.com, Dark Reading, MIT’s Technology Review, Popular Science, and Wired News. Five awards for journalism, including Best Deadline … View Full Bio

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Source: https://www.darkreading.com/vulnerabilities—threats/hidden-property-abusing-allows-attacks-on-nodejs-applications/d/d-id/1338509?_mc=rss_x_drr_edt_aud_dr_x_x-rss-simple

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Cyber Security

CyberMaxx MAXX Network Now Available for AWS and Azure Environments

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CyberMaxx

CyberMaxx is excited to announce the release of MAXX Network for cloud-based environments. As the world embraces a new standard of business operations, organizations seek the flexibility of cloud-based computing. At CyberMaxx we know that you need the ability to protect your cloud-based data. To do that, you need expertise in cybersecurity and cloud solutions.

There are many misconceptions regarding the security of the cloud. One is the cloud service provider provides your perimeter security and you don’t need a threat-based blocking technology deployed there. However, after examining hundreds of cloud-based deployments, the evidence clearly shows you are responsible for blocking those threats. You need an intrusion detection/prevention system (IDS/IPS) developed specifically to address your security needs in today’s cloud-based environments. Our newly developed AWS and Azure-based virtual machine leverages the proven technology of our on-premise sensor in those cloud environments.

“The new advancements in our MAXX Network platform empowers our customers to move their workforce to the cloud without the worry of a security breach on top of the other challenges COVID-19 brings,” says Thomas Lewis, CEO of CyberMaxx. “This shift has fundamentally changed how cybersecurity teams need to protect their employees and sensitive data.”

The Verizon Data Breach Report indicates that cloud hacking will be one of the new ways cybercriminals enter our systems—stealing credentials and hacking into cloud-based email servers. While cloud-computing offers your business cost savings, operational efficiencies and general agility, network protection should not be overlooked.

Cybercriminals will continue to take the path of least resistance. “Just like us, cybercriminals try to be efficient,” says Jason Riddle. “If they find an easier way to get into your systems, they’ll take it.”

“The implementation of MAXX Network for AWS went smoothly. We didn’t have to think about it once it was live, CyberMaxx took care of everything. It was a completely natural extension of the traditional IPS approach we already had in place, but now in the cloud,” says CyberMaxx customer and VP of Technology & Infrastructure.

Contact us at (615) 309-2500 to see how our tailored, scalable solution is the best fit for your cloud security needs, and in the meantime, visit CyberMaxx.com to learn more about our other services.

About CyberMaxx

CyberMaxx prevents, detects, and responds to cyberattacks for healthcare organizations. CyberMaxx equips its customers with a 24/7/365 security operations center with services including endpoint threat detection and response, network-based threat detection and prevention, security information and event management (SIEM) with advanced data analytics, vulnerability risk management, and incident response services.

Contact CyberMaxx for more information about healthcare cybersecurity solutions by visiting CyberMaxx.com or call (615) 309-2500.

Media Contact

Erin C. Kennedy | CyberMaxx | 615.309.2514 | ekennedy@cybermaxx.io

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Source: https://www.prweb.com/releases/cybermaxx_maxx_network_now_available_for_aws_and_azure_environments/prweb17296845.htm

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Cyber Security

AnChain.AI and Bitquery Launch First Blockchain Forensics Engine for…

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“Providing affordable access to investigative tools is essential to securing the legitimacy of this industry.” – Victor Fang, CEO & Co-Founder, AnChain.AI

AnChain.AI and Bitquery today announced the official roll out of their groundbreaking Compliance Investigation Security Operations (CISO™) real-time investigative platform. CISO is the most powerful and accessible blockchain forensics engine available on the market, combining AnChain.AI’s real-time intelligence and behavior-based machine learning with Bitquery’s Coinpath® technology to enable both enterprise customers and the greater digital asset community to map, trace, and explore complex transactional relationships with its intuitive interface and AI-powered labeling system.

Per the Financial Action Task Force (FATF), money laundering compromises an estimated 2–5% of global GDP and up to $2 Trillion USD annually, of which cryptocurrency is a quickly-growing component. CISO’s streamlined user interface is specifically designed to empower end-to-end investigation of such illicit activity, tracing compromised funds from the point of acquisition, through advanced obfuscation techniques, mixers, and wallet jumps, and to their eventual attempted liquidation. Utilized in the investigation of the 2020 Twitter Hack, crypto-laundering maneuvers utilized by such criminal actors are easily mapped in a matter of minutes, laying bare any attempts to cash out ill-gotten Bitcoin.

“As mainstream adoption brings a wave of new users to the digital asset economy, it is more critical than ever to safeguard the cryptocurrency industry against scams, ransomware, darknet markets, sanctioned individuals, and other forms of illicit activity,” said Victor Fang, CEO & Co-Founder of AnChain.AI. “Cryptocurrencies, a new asset class, is the first protocol layer of the internet that anyone can buy a piece of. A new era that brings a lot of challenges and trust issues between participants of this market. This is the reason we are focusing on delivering and visualizing the only truth, the on-chain truth of each transaction backed by mathematics.” said Dean Karakitsos, CEO & Founder of Bitquery.

Utilizing AI and proprietary machine learning, CISO creates a comprehensive, labelled roadmap of transactional relationships in a matter of minutes, enabling users to identify critical entities in the money-laundering process, detect the participation of whale wallets, and monitor suspicious addresses on a continuous basis with customizable alerts. Each and every address receives a score based on both its full transaction history and predictive analysis of its behavior, signalling the potential for future illicit activity.

Bringing greater transparency to the blockchain is critical to the digital asset ecosystem, and with the introduction of CISO the firms hope to democratize the field of blockchain forensics, putting industry-grade investigative firepower in the hands of the community. Users can sign up for a free trial of the CISO investigative platform at https://anchain.ai/ciso

About AnChain.AI

AnChain.AI is an AI-powered blockchain security company with one mission in mind: to secure and grow the blockchain industry by delivering trust through security and operational visibility. Our team has extensive experience in cybersecurity, artificial intelligence, cloud computing, and big data. AnChain.AI is continuously securing leading crypto exchanges, protocols, DApps, wallets, custodians, and enterprise with our ecosystem analytics platform. For more info, visit: https://www.anchain.ai

About Bitquery

Bitquery is an API-first product company dedicated to power and solve blockchain data problems using the ground truth, on-chain data. Bitquery extracts and presents valuable data via APIs. These APIs are delivering solutions to multiple verticals like Decentralize Finance (DeFi), DEX Arbitrage Analytics, Crypto Surveillance & Forensics across all major blockchains like Bitcoin, Ethereum, EOS, Tezos. For more info, visit: https://Bitquery.io

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Source: https://www.prweb.com/releases/anchain_ai_and_bitquery_launch_first_blockchain_forensics_engine_for_commercial_anti_fraud_and_aml_investigation/prweb17293825.htm

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