Rocket.Chat 6.12.0, 6.11.2, 6.10.5, 6.9.6, 6.8.6, 6.7.8, and earlier is vulnerable to denial of service (DoS). Attackers who craft messages with specific characters may crash the workspace due to an issue in the message parser.

**Exploitability Metrics**

Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.

Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.

Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.

Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.

User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.

**Vulnerable System Impact Metrics**

Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.

Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).

Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.

**Subsequent System Impact Metrics**

Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.

Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).

Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.

GHSA-6375-pg5j-8wph: Denial of service in rocket chat message parser

Flowise < 2.1.1 suffers from a Stored Cross-Site vulnerability due to a lack of input sanitization in Flowise Chat Embed < 2.0.0.

GHSA-m5p9-xvxj-64c8: Flowise and Flowise Chat Embed vulnerable to Stored Cross-site Scripting

In Apache Linkis <= 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils.
Users are recommended to upgrade to version 1.6.0, which fixes this issue.

GHSA-6gch-63wp-4v5f: Apache Linkis Spark EngineConn: Commons Lang's RandomStringUtils Random string security vulnerability

Cybercriminals are exploiting the ongoing Sean “Diddy” Combs scandal by spreading the new PDiddySploit malware hidden in infected…

Cybercriminals are exploiting the ongoing Sean “Diddy” Combs scandal by spreading the new PDiddySploit malware hidden in infected files, targeting curious and unsuspecting social media users, particularly those on X.com (formerly Twitter).

Cybercriminals are wasting no time exploiting the recent scandal involving Sean “Diddy” Combs. As the public’s curiosity surges over the music mogul controversy, cybercriminals have seized the moment to spread a new strain of malware designed to take advantage of the growing interest.

According to Veriti’s research team, a new Trojan malware dubbed PDiddySploit has been identified. This malware, part of the PySilon RAT (Remote Access Trojan) family, is developed to exploit those seeking information about Diddy’s now-deleted social media activity on platforms like X.com (formerly Twitter).

The Trojan, which has advanced capabilities for stealing sensitive data, monitoring keystrokes, recording screen activity and remotely controlling infected systems, can severely compromise anyone’s security and privacy.

****The PDiddySploit Threat****

First discovered on September 13, 2024, PDiddySploit is a direct variant of the PySilon RAT, which is notorious for its adaptability and malicious functionalities. PySilon, an open-source **Python-based malware**, has become a preferred tool for threat actors due to its ability to evolve and spread quickly.

The current version of PySilon RAT is version 3.6 and since June 2023 alone over 300 samples have been found on **VirusTotal**, showing how cybercriminals are continuously refining this tool.

****Celebrity Scandals as a Gateway for Malware Attacks****

According to Veriti’s **report** shared with Hackread.com ahead of publishing on Tuesday, one of the most alarming aspects of this wave of attacks is how closely they are tied to Diddy’s deleted social media content.

One major part of this malware attack is how cybercriminals are uploading files that claim to contain “removed” posts and replies from Diddy’s X.com account, and these files are being used as bait to lure unsuspecting users. Curious individuals who want to see what was deleted are being tricked into downloading these files, unknowingly infecting their devices with the PDiddySploit Trojan.

One of the malicious files with deleted Diddy posts was uploaded by a now-deleted account @lamps\_apple on Virus Total (Screenshot via Veriti)

This tactic is effective because of the public’s curiosity. As the scandal gets more media attention, attackers know that many users will search for more information, especially content that has been taken down.

Veriti’s analysis uncovered several of these malicious files on platforms like VirusTotal, all associated with Diddy’s deleted posts. These files, packaged to appear like legitimate screenshots or documents, are loaded with malware, turning curiosity into a cybersecurity nightmare.

****Diddy and Malware****

Interestingly, this is not the first time Sean “Diddy” Combs’ name has been associated with malware. **Back in 2013**, a similar attack was launched, using Diddy’s hit song “I’m Coming Home” as the bait. That malware, disguised as an MP3 file, targeted users who wanted to download the track.

In similar attacks, hackers exploited the nude celebrity photo leaks scandal **in December 2016** to lure victims into downloading malicious PDF files loaded with malware. **In February 2020**, cybercriminals used Oscar movie nominations as bait, tricking users into downloading malware disguised as “free downloads” of movies nominated for the 2020 Oscar Best Picture award.

Nevertheless, while it may be tempting to explore deleted content or hidden details, letting curiosity take over can expose your device to malware. Additionally, the increasing sophistication of malware like PySilon RAT, added with the lure of celebrity conspiracy, sets the stage for successful cyberattacks. Therefore, watch out for social media trends, especially those addressing high-profile scandals.

1.  **Hackers Hiding DcRAT Malware in Fake OnlyFans Content**
2.  **Crooks using Marvel’s Black Widow movie to spread malware**
3.   **Torrent uploader CracksNow distributed GrandCrab ransomware**
4.  **Fake OnlyFans Checker Tool Infects Hackers with Lummac Stealer**
5.  **Russian Hackers Control Malware via Britney Spears Instagram Posts**

PDiddySploit Malware Hidden in Files Claiming to Reveal Deleted Diddy Posts

Most general purpose large language models (LLM) are trained with a wide range of generic data on the internet. They often lack domain-specific knowledge, which makes it challenging to generate accurate or relevant responses in specialized fields. They also lack the ability to process new or technical terms, leading to misunderstandings or incorrect information.An "AI hallucination" is a term used to indicate that an AI model has produced information that's either false or misleading, but is presented as factual. This is a direct result of the model training goal of always predicting the next

Most general purpose large language models (LLM) are trained with a wide range of generic data on the internet. They often lack domain-specific knowledge, which makes it challenging to generate accurate or relevant responses in specialized fields. They also lack the ability to process new or technical terms, leading to misunderstandings or incorrect information.

An "AI hallucination" is a term used to indicate that an AI model has produced information that's either false or misleading, but is presented as factual. This is a direct result of the model training goal of always predicting the next token regardless of the question. It can be difficult to tell whether information provided by AI contains learned facts or a hallucination. This is a problem when you're trying to use an LLM for critical purposes and applications such as those used in healthcare or finance.

The diagram below demonstrates how an LLM predicts the next word in a sentence based on its training. In most cases a "greedy algorithm" is used, the word with the most probability is chosen and the output is generated. 

**Hallucinations can cause security problems**

Research has demonstrated that LLM output, when used verbatim, can lead to long-lasting, hard-to-detect security issues and cause supply chain security problems. A few months ago, researchers exposed a new attack technique known as AI Package Hallucination. This technique used LLM tools to spread malicious packages that do not exist, based on model outputs provided to the end user.

Code generation LLMs are often trained using code repositories on the internet. Sometimes these repositories contain intentionally malicious code, such as typosquatted or hijacked package dependencies. Should a developer use tainted code from a generated model, it can cause widespread security issues for their systems, and even spread the issues to their customers, causing widespread supply chain security issues.

**Hallucinations can cause financial losses and lawsuits**

The hallucination issue with LLMs is especially problematic in finance where precision is crucial. Recent research by Haoqiang Kang and Xiao-Yang Liu marks a pivotal effort in exploring LLM hallucination within financial contexts. When the outputs generated by LLMs are used directly to make financial decisions, they can lead to significant financial losses to companies and potential legal consequences.

**Hallucinations mitigation 101**

Hallucinations are a reality with LLM output. While researchers attempt to figure out the best way to eliminate them, mitigating them is currently the most appropriate solution for enterprises. To do so, enterprises should:

**1\. Fine-tune the model with domain-specific knowledge**

The primary source of LLM hallucinations is the model’s lack of training with domain-specific data. During inference, an LLM simply tries to account for knowledge gaps by inventing probable phrases. Training a model on more relevant and accurate information makes it more accurate at generating responses, thereby minimizing chances of hallucination.

InstructLab is an open source initiative by Red Hat and IBM that provides a platform for easy engagement with LLMs. It allows companies and contributors to easily fine-tune and align models with domain-specific knowledge using a taxonomy-based curation process.

**2\. Use Retrieval Augmented Generation (RAG)**

RAG addresses AI hallucinations by ensuring factual accuracy. It searches an organization's private data sources for relevant information to enhance the LLM's public knowledge.

User prompts are converted to a vector representation by using models like BERT. These vectors are used to search a database for relevant information. Vector databases are used to store domain specific information for this purpose. In the end, the output is generated from the original prompt and the retrieved information to produce an accurate response.

**3\. Use advance prompting techniques**

Advanced prompting techniques, such as chain of thought prompting, can considerably reduce hallucinations. Chain of thought prompting helps enable complex reasoning capabilities through intermediate reasoning steps. Further, it can be combined with other techniques, such as few-shot prompting, to get better results on complex tasks that require the model to reason before responding.

**4\. Use guardrails**

Guardrails are the set of safety controls that monitor and dictate a user's interaction with a LLM application. They are a set of programmable, rule-based systems that sit in between users and foundational models in order to make sure the AI model is operating between defined principles in an organization.

Using modern guardrails, especially those that support contextual grounding, can help reduce hallucinations. These guardrails check if the model response is factually accurate based on the source and make sure output is grounded in the source. Any new information introduced in the response will be considered un-grounded.

Understanding and mitigating the causes of hallucinations is critical for deploying an LLM in high-stakes domains such as health care, legal, and financial services, where accuracy and reliability are paramount. Though hallucinations cannot currently be completely eliminated, the way you implement solutions relying on an LLM can help mitigate them.

You can make setting up your own LLM solution for your organization easy with RHEL AI, an image specially designed for deploying AI.

When LLMs day dream: Hallucinations and how to prevent them

The ABB BMS/BAS controller suffers from an unauthenticated OS command injection vulnerability. This can be exploited to inject and execute arbitrary shell commands through the 'host' HTTP GET parameter called by networkDiagAjax.php script.

ABB Cylon Aspect 3.07.00 (networkDiagAjax.php) Remote Code Execution

Leaders in professional athletics lament the realities and risks of growth in connected stadium environments, social networks, and legalized gambling.

Source: Robert Landau via Alamy Stock Photo

Professional sporting events have long been prime targets for violent attacks and terrorism, given their vast audiences. In recent years, these events have become targets of cyberattacks as adversaries exploit venue operations to disrupt events, abuse payment systems for fraud, breach networks to steal data, and take advantage of how athletes interact with fans.

While game time is pivotal, there are many other vulnerabilities to which sports franchise operators and event organizers must apply resources, including a growing and increasingly fragmented ecosystem of stakeholders like broadcast and streaming partners, ticket distributors, and legalized gambling platforms.

"We've done pretty well so far," said Betsy Cooper, director of the Aspen Institute tech policy hub, during a panel at the 2024 Aspen Cyber Summit in Washington, DC. Despite the expanded threat, operators of major franchises, leagues, and international events (such as the Olympic games in Paris) believe their proactiveness has prevented devastating events that other industries have faced.

**1\. Athletes Need More Training**

Athletes are increasingly relying on social media and technology platforms to engage with fans and develop their brand. "I represent a lot of athletes, and a lot of them depend heavily on social media to build their brand and build their audience," Jaia Thomas — founder of Diverse Representation, a group of African American agents, attorneys, managers, PR reps, and financial advisors for athletes and entertainers — said during the panel discussion. "A lot of mistakes happen along the way, and they're not always the most tech-savvy people."

These athletes are also quite young and may be unaware that using these platforms exposes them to potential ransomware attacks or increased risks of being doxxed. "You're talking about kids, for the most part, that make up these teams, and the education piece needs to be strengthened," Eric Tysarczyk, senior vice president of the National Hockey League, said on the panel.

**2\. Event Attendees Are Vulnerable**

Now that most events only accept e-tickets, almost all attendees have phones with them. The NHL says fans need to take precautions with their mobile devices.

"Imagine if everyone that was in that arena is walking around with all their personal data taped to their back on a piece of paper, and how attractive that arena would be to a malicious actor to get in and just start cultivating all that data," Tysarczyk said.

**3\. Partnerships Are Critical for Major Events**

Reynold Hoover, the CEO of Los Angeles 2028 Olympic & Paralympic Games, told panel attendees that one of the reasons there were no disruptive cyberattacks during the Summer Olympics in Paris was due to information sharing across law enforcement and partners. The most notable activity leading up to the games was influence campaigns waged by Russian threat actors. "The Russians were very active in Paris, trying to disrupt," said Hoover, a former Army and National Guard lieutenant general with a background in military intelligence.

The Los Angeles Olympic Games in 2028 is expected to draw as many as 15 million visitors, 15,000 athletes, and 25,000 broadcasters across 800 different sporting events. Hoover said the committee is preparing for threat actors ranging from "goobers in their basements trying to do something stupid, all the way to nation-state actors."

The Los Angeles 2028 committee has partnered with the Department of Homeland Security, the Cybersecurity and Infrastructure Security Agency, and the Federal Communications Commission, among other US agencies.

"We cannot do it alone," Hoover said. "It requires a public-private partnership and open and honest information sharing."

**4\. New Streaming Models Create New Challenges**

As all the major leagues expand their broadcast distribution rights to streaming providers, they can reach new audiences and gain new revenues. However, an attack that even briefly interrupts a broadcast could be costly in terms of lost advertising revenue, Tysarczyk said. "We're putting a lot of faith in those third-party operating techniques and what their cyber protections are," he said.

**5\. Legal Sports Betting Puts Premium on Inside Data**

Further, now that sports gambling is now legal in 38 US states, including Washington, DC, and Puerto Rico, stealing data is more lucrative for threat actors than ever. Non-public information, including health records and other proprietary statistics, is especially valuable. "\[It's\] the data that people use to develop trends and see where the wagers go and things like that," Tysarczyk said.

**6\. Expanded Partnerships Require Advanced Data Protection**

A broader ecosystem that shares increasing amounts of data needs to ensure that information is air-gapped, which was the focus in Paris this summer, Hoover said. "It really requires a partnership effort, and it was an all-hands-on-deck effort in Paris to defend the networks," he said. "It's a closed network, and so we are very concerned about the integrity of the sport, the safety of our athletes, and the safety of our fans that attend, and making sure that we can protect the data and keep that inbound and the right people are getting the right data."

**About the Author**

Jeffrey Schwartz is a journalist who has covered information security and all forms of business and enterprise IT, including client computing, data center and cloud infrastructure, and application development for more than 30 years. Jeff is a regular contributor to Channel Futures. Previously, he was editor-in-chief of Redmond magazine and contributed to its sister titles Redmond Channel Partner, Application Development Trends, and Virtualization Review. Earlier, he held editorial roles with CommunicationsWeek, InternetWeek, and VARBusiness. Jeff is based in the New York City suburb of Long Island.

6 Cybersecurity Headaches Sports Organizations Have to Worry About

The RISC-V chip architecture is gaining popularity worldwide, but the fact that it is easy to modify the processor design means it is also easy to introduce hard-to-patch vulnerabilities in the chips.

Source: Science Photo Library via Alamy Stock Photo

An emerging chip architecture gaining traction in smartphones, automotive technologies, and other electronics may find adoption stymied by security concerns.

Using x86 and ARM processors for hardware development can get expensive because of royalties that have to be paid to the owners (Intel and Arm). RISC-V is an instruction set on which customers can personalize silicon chips to meet their needs, much like how Lego blocks are put together. RISC-V is open and free to license, so anyone can design, manufacture, and sell RISC-V chips and software.

RISC-V is drawing interest among companies in the auto, critical infrastructure, and industrial sectors. For example, NASA is creating chips based on RISC-V that it intends to use in its space programs. Omdia estimates RISC-V shipments could tally 17 billion processors in 2030, improving 50% every year starting in 2024.

"46% of those processors are expected to be found in industrial applications, although the biggest growth over the forecast period will come in the automotive segment," Omdia said.

**Vulnerabilities in Designs**

RISC-V's open-source ethos is its biggest advantage, but also a liability: bad actors could introduce backdoors in the chip designs. Vulnerabilities in RISC-V chips used in automotive technology or critical infrastructure could be disastrous.

At Black Hat USA in August, researchers disclosed Ghostwrite, which allows users to bypass memory protection and access privileged memory in a RISC-V chip design called Xuantie C910. The Xuantie C910, designed by T-Head, a subsidiary of China-based Alibaba Group, received a lot of publicity when it was launched three years ago. It was one of the earliest RISC-V processors with a vector extension, which helps CPUs run demanding applications that include AI.

The vulnerability is particularly concerning because it affects the chip's proprietary vector extension, which wasn't properly implemented, says Fabian Thomas, a researcher in the group at CISPA Helmholtz Center for Information Security that discovered GhostWrite. Chip makers can patch the C910 by disabling the vector extension, but it will still be difficult to implement.

"People bought it and built 64-core machines because of that, and now we have to tell them to disable it," Thomas says.

**Shared Designs, Hard to Patch**

The issue is not in the RISC-V architecture itself, but in a faulty silicon implementation. Chip designers are enthusiastic about sharing RISC-V designs, but this means that designs with vulnerabilities may potentially be replicated and used in various areas. Resulting devices could be vulnerable to attack, and may be difficult to patch with microcode updates.

"The digital transformation happening in these sectors means they're all connected now, creating potential to exploit across all these very safety-critical systems," says Margaret Schmitt, a hardware security consultant.

It's already difficult to fix hardware vulnerabilities with firmware updates. The open nature of this chip architecture means it will be difficult to fix them in the field. "The silicon vulnerability is worse because you can't really fix them in the field in many cases... if it connects to critical infrastructure, this could be seen forever," says Alex Matrosov, CEO at Binarly.io.

There are hundreds of RISC-V designs available on GitHub to pick up, but security teams need to consider the risks of winding up with malicious chip designs with backdoors. "This is similar to open-source software projects where people \[make\] changes, saying 'I'm making it better,' but it's actually a backdoor or malware," Schmitt says.

The concern is especially heightened as the RISC-V architecture has become a priority for Russia and China, which are investing heavily in the technology to build homegrown chips. China and Russia ramped up RISC-V adoption after the U.S. banned the export of advanced chips to these countries amid trade and political hostilities.

The U.S. government has already talked about limiting RISC-V access to China, though that may be hard to do as the architecture is open source.

"You're seeing a potential basis for China to use this, a potential for unintended or intentionally added weaknesses to be a serious concern," says Schmitt.

**Working With Security Partners**

Organizations working with RISC-V chips on a shoestring budget may make the decision to sacrifice security, says Mike Eftimakis, vice president of strategy and ecosystem at Codasip, a software company.

"To be able to find a bug, you have to have the infrastructure behind you. It's very expensive and requires specialized knowledge, so it naturally shrinks the base of people who could potentially help with the verification of these devices," Eftimakis says.

Hardware security experts recommended going to established RISC-V companies with solid security processes, a strong customer base, and a good track record of designing chips. One example is Santa Clara, Calif.-based SiFive, which handles security analysis and rigorous compliance testing in its cores. The company has a large customer base that includes Google and NASA, a spokesman said in an email.

Another RISC-V company, Cupertino, Calif-based Ventana Micro Systems, uses the Caliptra specification to put security features directly in computing chips. Caliptra was developed by the Open Compute Project, a coalition which includes Google, Microsoft, AMD, and Nvidia.

Ventana Micro leaders have extensive experience working with x86 and ARM architectures, and are using that experience to secure RISC-V chips. "We applied these learnings during our ground-up development and have many patented features targeted at making our microarchitecture resilient to attacks," a company spokesperson said in an email.

**About the Author**

Agam Shah has covered enterprise IT for more than a decade. Outside of machine learning, hardware, and chips, he's also interested in martial arts and Russia.

Security Concerns Plague Emerging Chip Architecture

A water treatment facility in a small city took serious precautions to prevent any bad outcomes from a hazy cyber incident.

Source: Dmitry Kaminsky via Alamy Stock Photo

The water treatment facility for a small city in Kansas experienced a "cybersecurity incident" on the morning of Sept. 22.

Arkansas City — population 12,000, a two-hour drive north of Oklahoma City — sits at the junction of the Walnut and Arkansas Rivers, the latter of which supplies the town's drinking water. A notice from the city's Environmental Services Administration revealed that on Sept. 22, its treatment facility experienced a "cybersecurity incident." Authorities were contacted and precautionary measures taken. Most notably, the facility moved to fully manual operations — a temporary decision made "out of caution," according to city manager Randy Frazer in the notice.

"Despite the incident, the water supply remains completely safe, and there has been no disruption to service," Frazer wrote. "Residents can rest assured that their drinking water is safe, and the City is operating under full control during this period."

The administration added that "Cybersecurity experts and government authorities are working to resolve the situation and return the facility to normal operations. Enhanced security measures are currently in place to protect the water supply, and no changes to water quality or service are expected for residents."

Dark Reading has reached out to Arkansas City for more information about the incident. In lieu of details, Shawn Waldman, CEO and founder of Secure Cyber, points out that a switch to manual operations could indicate some degree of seriousness.

"In a breach that we investigated last November, we actually never went to manual mode," he recalls. "We were able to isolate the human-machine interfaces (HMIs) and keep the Russian malware contained, and we let the plant operate as normal. There's a lot of strain on employees when you put a plant in manual mode. That's the last case scenario — you don't want to go into manual mode unless you have to."

**The Problem With State-of-the-Art Systems**

Industrial control systems have long struggled to match old, legacy equipment to the demands of modern day cybersecurity.

Less often spoken of is the opposite problem: newer facilities designed with greater connectivity in mind, which introduce attack surfaces that the dinosaur, often analog machines, didn't have.

The new 5.4 million-gallon-per-day water treatment facility in Arkansas City opened in February 2018. It cost $22 million to build, and sports "advanced technology" estimated to save the city up to 20% on operational and maintenance costs. The exact nature of its cybersecurity posture is unknown. 

"Just because a city comes out and says: 'We just upgraded everything, and it's all new, and we should be good' — well, that's great, but what about cybersecurity?" asks Waldman. "Some cities are not making a proper investment into securing their critical infrastructure.

"My city did that exact thing: I know for a fact that they did not upgrade cybersecurity, but they spent around $14 million or more to upgrade all the infrastructure."

To ensure that cities don't leave security out of their budgets, Waldman says, "The EPA and Congress need to step up and get that new EPA standard for cybersecurity passed. They tried to do it before, and then they got sued. And what did we give up? Weeks after that, Iran launched a bunch of attacks on the water systems in the United States. Because, big surprise, Iran reads the US news."

**About the Author**

Nate Nelson is a freelance writer based in New York City. Formerly a reporter at Threatpost, he contributes to a number of cybersecurity blogs and podcasts. He writes "Malicious Life" -- an award-winning Top 20 tech podcast on Apple and Spotify -- and hosts every other episode, featuring interviews with leading voices in security. He also co-hosts "The Industrial Security Podcast," the most popular show in its field.

Kansas Water Plant Pivots to Analog After Cyber Event

The encrypted messaging service said it will share users' IP addresses and phone numbers with authorities when requested.

Source: Geoff Smith via Alamy Stock Photo

Telegram will hand over user information, such as phone numbers and IP addresses, to authorities in order to limit the criminal activity that occurs on the platform, the company said in an update to its privacy policies.

"If Telegram receives a valid order from the relevant judicial authorities that confirms you're a suspect in a case involving criminal activities that violate the Telegram Terms of Service, we will perform a legal analysis of the request and may disclose your IP address and phone number to the relevant authorities," said Telegram in its user privacy policy.

This recent change in policy comes after Telegram CEO Pavel Durov was arrested and indicted in France after being held liable for the behavior of users on the platform.

This set off speculation of whether this would change the way Telegram has become a harbor for threat actors to communicate with one another, sell stolen data, and distribute malware, among other things. Initial signs pointed to things remaining the same, however, this update indicates a new era for the messaging app.

Telegram will also update its search feature to remove problematic content from its search results. And it will implement a system to allow users to report illegal search terms through an @SearchReport bot that will be reviewed by human moderators.

**About the Author**

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