Various mental health mobile applications with over millions of downloads on Google Play have security flaws that could leak users’ personal medical data.
Researchers found over 85 medium and high-severity vulnerabilities in one of the apps that can be abused to hack users' therapy data and privacy.
Few products are AI companions built to help people having anxiety, clinical depression, bipolar disorder and stress.
Six of the ten studied applications said that user chats are private and encoded safely on the vendor's servers.
Oversecured CEO Sergey Toshin said that “Mental health data carries unique risks. On the dark web, therapy records sell for $1,000 or more per record, far more than credit card numbers.”
Experts scanned ten mobile applications promoted as tools that help with mental health issues, and found 1,575 security flaws: 938 low-severity, 538 medium-severity, and 54 rated high-severity.
No critical issues were found, a few can be leveraged to hack login credentials, HTML injection, locate the user, or spoof notifications.
Experts used the Oversecured scanner to analyse the APK files of the mental health apps for known flaw patterns in different categories.
Using Intent.parseUri() on an externally controlled string, one treatment app with over a million downloads launches the generated messaging object (intent) without verifying the target component.
This makes it possible for an attacker to compel the application to launch any internal activity, even if it isn't meant for external access.
Oversecured said, “Since these internal activities often handle authentication tokens and session data, exploitation could give an attacker access to a user’s therapy records.”
Another problem is storing data locally that gives read access to all apps on the device. This can expose therapy details, depending on the saved data. Therapy details such as Cognitive Behavioural Therapy (CBT), session notes, therapy entries. Experts found plaintext configuration data and backend API endpoints inside the APK resources.
“These apps collect and store some of the most sensitive personal data in mobile: therapy session transcripts, mood logs, medication schedules, self-harm indicators, and in some cases, information protected under HIPAA,” Oversecured said.
Artificial intelligence is increasingly being used to help developers identify security weaknesses in software, and a new tool from OpenAI reflects that shift.
The company has introduced Codex Security, an automated security assistant designed to examine software projects, detect vulnerabilities, confirm whether they can actually be exploited, and recommend ways to fix them.
The feature is currently being released as a research preview and can be accessed through the Codex interface by users subscribed to ChatGPT Pro, Enterprise, Business, and Edu plans. OpenAI said customers will be able to use the capability without cost during its first month of availability.
According to the company, the system studies how a codebase functions as a whole before attempting to locate security flaws. By building a detailed understanding of how the software operates, the tool aims to detect complicated vulnerabilities that may escape conventional automated scanners while filtering out minor or irrelevant issues that can overwhelm security teams.
The technology is an advancement of Aardvark, an internal project that entered private testing in October 2025 to help development and security teams locate and resolve weaknesses across large collections of source code.
During the last month of beta testing, Codex Security examined more than 1.2 million individual code commits across publicly accessible repositories. The analysis produced 792 critical vulnerabilities and 10,561 issues classified as high severity.
Several well-known open-source projects were affected, including OpenSSH, GnuTLS, GOGS, Thorium, libssh, PHP, and Chromium.
Some of the identified weaknesses were assigned official vulnerability identifiers. These included CVE-2026-24881 and CVE-2026-24882 linked to GnuPG, CVE-2025-32988 and CVE-2025-32989 affecting GnuTLS, and CVE-2025-64175 along with CVE-2026-25242 associated with GOGS. In the Thorium browser project, researchers also reported seven separate issues ranging from CVE-2025-35430 through CVE-2025-35436.
OpenAI explained that the system relies on advanced reasoning capabilities from its latest AI models together with automated verification techniques. This combination is intended to reduce the number of incorrect alerts while producing remediation guidance that developers can apply directly.
Repeated scans of the same repositories during testing also showed measurable improvements in accuracy. The company reported that the number of false alarms declined by more than 50 percent while the precision of vulnerability detection increased.
The platform operates through a multi-step process. It begins by examining a repository in order to understand the structure of the application and map areas where security risks are most likely to appear. From this analysis, the system produces an editable threat model describing the software’s behavior and potential attack surfaces.
Using that model as a reference point, the tool searches for weaknesses and evaluates how serious they could be in real-world scenarios. Suspected vulnerabilities are then executed in a sandbox environment to determine whether they can actually be exploited.
When configured with a project-specific runtime environment, the system can test potential vulnerabilities directly against a functioning version of the software. In some cases it can also generate proof-of-concept exploits, allowing security teams to confirm the problem before deploying a fix.
Once validation is complete, the tool suggests code changes designed to address the weakness while preserving the original behavior of the application. This approach is intended to reduce the risk that security patches introduce new software defects.
The launch of Codex Security follows the introduction of Claude Code Security by Anthropic, another system that analyzes software repositories to uncover vulnerabilities and propose remediation steps.
The emergence of these tools reflects a broader trend within cybersecurity: using artificial intelligence to review vast amounts of software code, detect vulnerabilities earlier in the development cycle, and assist developers in securing critical digital infrastructure.
Cisco Systems has confirmed that attackers are actively exploiting two security flaws affecting its Catalyst SD-WAN Manager platform, previously known as SD-WAN vManage. The company disclosed that both weaknesses are currently being abused in real-world attacks.
The vulnerabilities are tracked as CVE-2026-20122 and CVE-2026-20128, each presenting different security risks for organizations operating Cisco’s software-defined networking infrastructure.
The first flaw, CVE-2026-20122, carries a CVSS score of 7.1 and is described as an arbitrary file overwrite vulnerability. If successfully exploited, a remote attacker with authenticated access could overwrite files stored on the system’s local file structure. Exploitation requires the attacker to already possess valid read-only credentials with API access on the affected device.
The second vulnerability, CVE-2026-20128, has a CVSS score of 5.5 and involves an information disclosure issue. This flaw could allow an authenticated local user to escalate privileges and obtain Data Collection Agent (DCA) user permissions on a targeted system. To exploit the vulnerability, the attacker must already have legitimate vManage credentials.
Cisco released fixes for these issues late last month. The patches also addressed additional vulnerabilities identified as CVE-2026-20126, CVE-2026-20129, and CVE-2026-20133.
The company provided updates across multiple software releases. Systems running versions earlier than 20.9.1 should migrate to a patched release. Fixes are available in the following versions:
According to Cisco’s Product Security Incident Response Team, the company became aware in March 2026 that CVE-2026-20122 and CVE-2026-20128 were being actively exploited. Cisco did not disclose how widespread the attacks are or who may be responsible.
Additional insights were shared by researchers at watchTowr. Ryan Dewhurst, the firm’s head of proactive threat intelligence, reported that the company observed exploitation attempts originating from numerous unique IP addresses. Investigators also identified attackers deploying web shells, malicious scripts that allow remote command execution on compromised systems.
Dewhurst noted that the most significant surge in attack activity occurred on March 4, with attempts recorded across multiple global regions. Systems located in the United States experienced slightly higher levels of activity than other areas.
He also warned that exploitation attempts are likely to continue as additional threat actors begin targeting the vulnerabilities. Because both opportunistic and coordinated attacks appear to be occurring, Dewhurst said any exposed system should be treated as potentially compromised until proven otherwise.
Security experts emphasize that SD-WAN management platforms function as centralized control hubs for enterprise networks. As a result, vulnerabilities affecting these systems can carry heightened risk because they may allow attackers to manipulate network configurations or maintain persistent access across multiple connected sites.
In response to the ongoing attacks, Cisco advises organizations to update affected systems immediately and implement additional security precautions. Recommended actions include restricting administrative access from untrusted networks, placing devices behind properly configured firewalls, disabling the HTTP interface for the Catalyst SD-WAN Manager administrator portal, turning off unused services such as HTTP or FTP, changing default administrator passwords, and monitoring system logs for suspicious activity.
The disclosure follows a separate advisory issued a week earlier in which Cisco reported that another flaw affecting Catalyst SD-WAN Controller and SD-WAN Manager — CVE-2026-20127, rated 10.0 on the CVSS scale had been exploited by a sophisticated threat actor identified as UAT-8616 to establish persistent access within high-value organizations.
This week the company also released updates addressing two additional maximum-severity vulnerabilities in Secure Firewall Management Center. The flaws, tracked as CVE-2026-20079 and CVE-2026-20131, could allow an unauthenticated remote attacker to bypass authentication protections and execute arbitrary Java code with root-level privileges on affected systems.
Cybersecurity investigators are warning that the threat actor widely tracked as Volt Typhoon may still have hidden access inside segments of U.S. critical infrastructure, and some compromises could remain undiscovered permanently.
For nearly three years, U.S. military and federal law enforcement agencies have worked to identify and remove intrusions affecting electricity providers, water utilities and other essential service operators in strategically sensitive regions. Despite these sustained efforts, a newly released industry assessment suggests that the full scope of the activity may never be completely known.
In its latest annual threat report, industrial cybersecurity firm Dragos stated that actors associated with Volt Typhoon continued targeting American utility networks into 2025. The company indicated that, even with heightened public scrutiny and coordinated government response, the campaign remains ongoing.
Rob Lee, chief executive of Dragos, said in recent media briefings that the group is actively studying infrastructure environments and establishing footholds not only in the United States but also across allied nations. When asked whether every previously breached organization could ultimately detect and eliminate the intruders, Lee responded that certain compromised sites in both the U.S. and NATO countries may never be identified.
U.S. officials have previously assessed that the objective of Volt Typhoon is to position access within operational technology environments in advance of any geopolitical conflict. Operational technology systems manage physical processes such as electricity transmission, water treatment and industrial production. By embedding themselves in these networks ahead of time, attackers could potentially disrupt or delay U.S. military mobilization during a crisis. Lee added that the group prioritizes strategically significant entities and works to preserve long-term, covert access.
He also noted that regulatory measures expected over the next three to five years may strengthen detection standards across the sector. Larger electricity providers often possess advanced monitoring capabilities and incident response programs that improve their ability to uncover and expel actors. However, many smaller public utilities, particularly in the water sector, lack comparable technical resources. In Lee’s assessment, while investigations are technically possible at such organizations, it is unlikely that all will reach the maturity needed to detect and remove deeply concealed compromises. He suggested that, at the current pace, some portion of infrastructure may remain infiltrated.
China has rejected allegations linking it to Volt Typhoon. Nonetheless, previous U.S. government investigations reported discovering evidence of concealed access in infrastructure systems in Guam and in proximity to American military installations, raising concerns about strategic intent. Officials have also acknowledged that the total number of affected entities is unknown and that any publicly cited figures likely underestimate the scale.
The Dragos report further describes another activity cluster, referred to by the company as SYLVANITE, which allegedly secures initial entry into infrastructure networks before access is leveraged by Volt Typhoon. According to the firm, this activity has targeted operational technology systems across North America, Europe, South Korea, Guam, the Philippines and Saudi Arabia, affecting oil and gas operations, water utilities, electricity generation and transmission entities, and manufacturing organizations.
Lee characterized this second group as facilitating access rather than directly causing operational disruption, effectively preparing entry points for subsequent exploitation.
Researchers also linked recent high-profile vulnerability exploitation campaigns to these actors, including flaws in widely deployed enterprise software from Ivanti and the Trimble Cityworks geographic information system platform developed by Trimble. A year ago, the federal civilian cybersecurity agency instructed government bodies to urgently remediate a Cityworks vulnerability, after which private security firms reported that Chinese-linked actors had used it to compromise multiple local government networks.
Dragos warned that unauthorized access to geographic information system data can provide detailed infrastructure mapping and asset intelligence. Such information, if exploited, could enable adversaries to design targeted and potentially disruptive industrial control system operations. The firm concluded that Volt Typhoon’s more recent activity reflects movement beyond conventional IT data theft toward direct engagement with operational technology devices, including the collection of sensor readings and operational parameters, heightening concerns for essential service resilience.
The problem is not the applications but how they are used in real-world cloud environments.
Penetra Labs studied how training and demo apps are being deployed throughout cloud infrastructures and found a recurring pattern: apps made for isolated lab use were mostly found revealed to the public internet, operating within active cloud profiles, and linked to cloud agents with larger access than needed.
Pentera Labs found that these apps were often used with default settings, extra permissive cloud roles, and minimal isolation. The research found that alot of these compromised training environments were linked to active cloud agents and escalated roles, allowing attackers to infiltrate the vulnerable apps themselves and also tap into the customer’s larger cloud infrastructure.
In the contexts, just one exposed training app can work as initial foothold. Once the threat actors are able to exploit linked cloud agents and escalated roles, they are accessible to the original host or application. But they can also interact with different resources in the same cloud environment, raising the scope and potential impact of the compromise.
As part of the investigation, Pentera Labs verified nearly 2,000 live, exposed training application instances, with close to 60% hosted on customer-managed infrastructure running on AWS, Azure, or GCP.
The investigation revealed that the exposed training environments weren't just improperly set up. Pentera Labs found unmistakable proof that attackers were actively taking advantage of this vulnerability in the wild.
About 20% of cases in the larger dataset of training applications that were made public were discovered to have malicious actor-deployed artifacts, such as webshells, persistence mechanisms, and crypto-mining activity. These artifacts showed that exposed systems had already been compromised and were still being abused.
The existence of persistence tools and active crypto-mining indicates that exposed training programs are already being widely exploited in addition to being discoverable.