Citizen Lab confirmed Pegasus on a Serbian rector’s iPhone 6 days before elections, raising the known civil society spyware target count to 16. The Citizen Lab published a research note confirming that the iPhone of Vladan Đokić, Rector of the University of Belgrade, was infected with NSO Group’s Pegasus spyware sometime in 2026. The infection used a zero-click exploit, meaning Đokić did nothing to trigger it. No tap, no opened file, nothing. “In collaboration with the SHARE Foundation, we found with high confidence that Professor Vladan Đokić, Rector of the University of Belgrade, and prominent supporter of the Serbian student movement, was hacked with NSO Group’s Pegasus spyware in 2026.” states Citizen Lab. Đokić became a prominent figure in Serbia’s student-led pro-democracy movement after refusing to facilitate a government crackdown on protesters. Serbian authorities raided his offices on March 31, seizing computers and servers. The Citizen Lab found the infection with high confidence and describes the investigation as ongoing. The timing raises questions. The discovery came just six days before Serbia’s snap parliamentary elections on October 25. Until September, Đokić had been publicly named as a possible candidate to lead the Student List. Since he spoke out against the crackdown, pro-government media have repeatedly attacked him. Citizen Lab explained what a Pegasus infection means. Once installed, the spyware can give its operator the same access to a device as its owner. This includes private and encrypted messages, and the ability to turn on the microphone and camera without the owner’s knowledge. “With the assistance of the SHARE Foundation, the Citizen Lab analyzed forensic artifacts collected from Vladan Đokić’s Apple iPhone at his request and with his consent.” reads the report. “We found with high confidence that it was infected with NSO Group’s Pegasus spyware in 2026. The infection leveraged a zero-click exploit.” In a statement published by the university, Đokić called the spyware “another attempt of intimidation.” He called for an independent investigation, the public release of its findings, and criminal prosecution of those responsible. “Additionally, we note that Rade Bajić, who, as a prosecutor, investigated official corruption in a failed project in Belgrade, received an Apple Threat Notification.” continues Citizen Labs. The Citizen Lab also flagged Rade Bajić, a senior prosecutor who worked on the “Generalštab” case, a corruption investigation into the removal of heritage protections from a Belgrade site to clear the way for a luxury development backed by a company linked to Jared Kushner, President Trump’s son-in-law. Bajić says he was removed from the investigation in November 2025 without explanation, and spoke at a student protest in February denouncing political interference in the case. He received an Apple Threat Notification on August 13 and a reminder on August 27. The Citizen Lab treats this as a high-confidence indicator that his device was likely targeted with mercenary spyware. Forensic analysis of his device is still ongoing and no confirmation of infection has been published yet. These two cases bring the known total to at least 16 members of Serbian civil society targeted or infected with commercial spyware in 2026. In September, the SHARE Foundation, with support from Citizen Lab and Amnesty International, reported an earlier wave of attacks. The victims included a student protester confirmed to have been infected with Pegasus, opposition party members, and local officials. Those cases occurred around the period leading up to Serbia’s March local elections. The latest confirmed case was discovered just six days before the October parliamentary elections. Serbia’s security service dismissed the September reports as purely trivial sensationalism and said it operates within Serbian law. Citizen Lab did not identify who was behind the attack on Đokić’s phone. Pegasus is sold only to governments and state agencies, which limits the number of possible operators. If you received an Apple Threat Notification, treat your device as compromised until a technical expert confirms otherwise. In Serbia, contact the SHARE Foundation. Everywhere else, Access Now’s Digital Security Helpline supports journalists, human rights defenders, and activists. Enable Lockdown Mode on your iPhone immediately, keep iOS updated, and get your close contacts and colleagues screened as well. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, Pegasus)
Nikkei disclosed a data breach affecting over 1.8 million records after hackers used stolen credentials to access a cloud service for system development. Japanese media company Nikkei has disclosed a data breach affecting more than 1.8 million records. The company, known for its financial news publications, including The Nikkei and the Financial Times, said attackers accessed a cloud service used for system development. On the morning of October 7, the hackers used previously stolen credentials to gain access. Nikkei has published details of the incident in an official statement. “A cloud service used by Nikkei Inc. for system development was accessed without authorization, and as of October 16, approximately 1.83 million items of personal information had been leaked.” reads the data breach notice published by the company. “About 150,000 items contained one or more of the following: name, email address, postal address, phone number or date of birth. Of these, about 120,000 included an email address. About 1.68 million items contained only information that cannot identify an individual. No credit card information is included in any of the leaked information.” The security breach did not compromise financial information. The company reported the breach to Japan’s Personal Information Protection Commission on October 11. The company is still investigating the scope of the security breach and what personal information was stolen. According to the notice, attackers used stolen login details to access a cloud service on October 7. Nikkei has since blocked the stolen credentials. As of October 16, the company had found no signs of further damage, such as misuse of the leaked data, system outages, or changes to its data. Nikkei apologized for the incident and said it would inform all individuals whose personal information was exposed. In May 2022, the Japanese media giant Nikkei disclosed a ransomware attack, while in November 2025, it disclosed a data breach stemming from the compromise of a Slack account. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, Nikkei)
Palo Alto Networks has disclosed that it's continuing to observe exploitation of a now-patched security flaw impacting PAN-OS and Prisma Access by ransomware actors. The activity relates to CVE-2026-0257 (CVSS score: 7.8), an authentication bypass flaw that could be exploited by bad actors to set up unauthorized VPN connections. It was patched by Palo Alto Networks in May 2026 and was
ConnectWise on Monday said it has taken remediation measures, including strengthening administrative-access protections and resetting accounts and replacing application credentials, as it continues to respond to a security incident that led to unauthorized access to application identities associated with Cloud Backup. The company said it has completed the following actions since it began
An attacker used a contributor's GitHub account to replace the download archives on five existing releases of OVHcloud's command-line tool on Monday, October 19. The account had been hijacked, and the new files were a build designed to steal secrets stored on the disk of any machine that runs it, the cloud provider says. They were live on GitHub for up to 94 minutes, from 12:47 to 14:21 UTC,
Microsoft urges organizations to secure AI Agents as insider threats, using dynamic permissions, continuous risk monitoring and automated containment. Microsoft published a detailed blog post explaining how organizations should secure AI agents. Microsoft sees them as a growing insider threat, not just a possible risk in the future. AI agents are not dangerous by nature, but they can access critical systems and may fail, be manipulated, or be compromised. “The most trustworthy agentic system will not be the one with the model we trust most. It will be the one designed that enables us to trust the model least.” said Satya Nadella This is not just a theory. It is a principle that should guide how organizations design and secure AI systems. The post makes a distinction worth holding onto. An agent that starts a task with the right permissions and behaves correctly can still become dangerous if its context changes mid-run. A prompt injection in an external document, a piece of untrusted data that shifts the agent’s reasoning, a task that evolves in a direction nobody anticipated, none of these require the agent to be compromised in the traditional sense. The model produces variable outputs, the context changes, and the agent’s behavior drifts. At machine speed, the window between that drift starting and it causing damage is very short. Microsoft’s proposed answer is continuous containment rather than upfront trust. You define what the agent is allowed to do before it acts, you monitor what it actually does while it runs, and you adjust its permissions in real time as its behavior or the risk calculation changes. An expense approval agent should start with access scoped exactly to reviewing and approving expenses, nothing broader, and those permissions should shrink or disappear the moment the agent tries something outside that task. The post introduces Dynamic Permissions to apply the principle of least privilege to AI agents. An agent should not automatically get the same access rights as the employee who deployed it. It starts with no permissions and receives only the access needed for its approved task. These permissions remain active only while the task is running. “The employee retains the employee’s access.” Microsoft states. “The agent receives its own identity, permissions and its own authority scoped to its current task and for the duration of the task only.” Alongside that, Dynamic Agent Risk is a continuously updated score that combines signals from identity, endpoints, network, cloud, runtime, and the agent’s own behavior to assess whether what the agent is currently doing still matches what it was authorized to do. The response when risk rises is graduated rather than binary: preserve reads while blocking writes, narrow accessible resources, require human approval for high-impact steps, or stop execution entirely if the risk warrants it. “Dynamic Agent Risk combines signals from identity, data, endpoints, cloud, network, runtime, and the agent’s own activity. It considers how securely the agent is configured, what resources it can reach, the potential impact if something goes wrong, and whether its actions are drifting from the user’s or organization’s intent.” Microsoft states. “The result is not a one-time score assigned at onboarding. It is a continuously updated understanding of the agent’s current risk and whether its current authority still matches that risk. “ Organizations frequently have AI agents running locally or introduced through third-party tools that were never formally registered in any central system. Microsoft says it’s expanding discovery to 60 types of local agents, including Claude Code, OpenAI Codex, and GitHub Copilot. Getting those into a unified registry with accountable identities is the prerequisite for applying any of the governance controls described in the rest of the post. You can’t set least-privilege permissions for an agent you don’t know exists. You can’t detect behavioral drift from an agent that doesn’t have a tracked identity. The agent registration problem is logistically harder than it sounds, especially for organizations where individual employees can spin up agents without IT involvement, which is most organizations right now. Microsoft recognizes that organizations cannot manually review every risk alert when they run hundreds of thousands of AI agents. Its solution is Guardian Agents, AI agents focused on security. They follow playbooks created by human operators, investigate changes in risk, apply or recommend security measures, and use what they learn to improve security policies. Humans set the goals and approve important decisions, while the agents handle continuous monitoring and response. However, this approach raises another concern. Guardian Agents are also AI agents, so they can fail or be manipulated, just like the agents they are supposed to control. Microsoft says security controls must operate outside the AI model and must not be changed by it. But this raises an important question: how can organizations ensure these controls remain reliable when the system enforcing them is also an AI agent? This is a challenge that real-world deployments will need to address in the coming years. “Organizations are adopting agents to serve customers better, solve problems faster, and give people more time for the work that matters most. The goal is not to make every model perfectly predictable before it can be useful.” Microsoft concludes. “The goal is to build systems that remain secure even when the model is not.” Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, AI Agents)
Ransomware operators including Spikey Scorpius (aka Qilin) and Tarnished Scorpius (aka Inc) are exploiting PAN-OS vulnerability CVE-2026-0257. The post Threat Brief: Active Exploitation of PAN-OS CVE-2026-0257 (Updated October 19) appeared first on Unit 42.
Staffing software company Bullhorn has disabled access to its platform to contain a cyberattack that caused a system-wide outage. The company says it has isolated the issue and eradicated the immediate threat. Currently, its team is working to restore services following thorough security reviews conducted with help from CrowdStrike specialists. Bullhorn is an American software company specializing in cloud-based staffing and recruitment solutions. Its platform helps staffing firms manage the recruitment lifecycle, including candidate tracking, onboarding, and payroll. The company says it serves more than 10,000 customers worldwide. According to a status page on the incident, customers started to experience issues with job posting in the Bullhorn application on Friday. The next day, the company said it was "experiencing a system-wide outage affecting the Bullhorn platform," and later confirmed that the issues were caused by a cyberattack.
The open-source AI coding project OpenCode has notified some users that stored API keys they used with external providers were exposed in a security breach. Multiple users reported that the incident led to unauthorized API charges and suspended projects in Google Cloud. According to the project maintainer, the breach affected 1.4% of OpenCode Console users, with some reporting more than $1,700 in unauthorized charges overnight. OpenCode is a model-agnostic AI coding agent that helps users understand code, write features, and fix bugs using natural-language instructions, through a terminal, desktop app, or code editor. Users can connect AI models from multiple AI providers to the OpenCode console to streamline and automate the development process. On Saturday, OpenCode announced that it suffered a large distillation attack that impacted only developers who linked external providers, including Anthropic, OpenAI, and Google.
The UK Electoral Commission is building an AI system to alert candidates to damaging deepfakes within three hours. The UK’s Electoral Commission is building an AI-powered system to tell candidates about significant deepfakes within three hours of posting. Its chief executive, Vijay Rangarajan, said so at a panel at the Conservative Party’s annual conference last week, as Tech Policy Press points out that it’s a rare public intervention from a man who has run the regulator since 2024 and who mostly speaks to Parliament in evidence sessions. He began with an example from another country. During Ireland’s 2025 presidential election, a deepfake video falsely showed candidate Catherine Connolly saying the election had been cancelled and that she was withdrawing from the race. The video also urged her supporters not to vote. None of this was true, and Connolly went on to win the election. Rangarajan said a similar video during a UK election could influence a significant number of votes. However, he stressed that the Electoral Commission has clear limits to its role. It does not settle disputes over political claims made during a campaign. Its focus is on false statements that could disrupt the election process itself. ““If that happens to the British election, that will move a significant amount of votes,” he said, adding that it was not the Electoral Commission’s role to arbitrate rival claims made by candidates during the cut and thrust of a campaign, but rather to focus on statements such as this one that could undermine the administration of the election itself. “To address that risk, the commission conducted a pilot program during the UK’s local elections in May 2026, Rangarajan said. “We ran a full pilot, analyzed about three million posts through an AI,” he explained. “So, this is a good example of how AI can work: 147 bits of content were flagged. Humans then looked at those — not a terribly pleasant job in some cases — ten were really quite misleading, and we referred to the social media companies or to the police.”” Tech Policy Press reports. The Commission has tested the idea. During the local elections in May 2026 it ran a full pilot, and an AI analyzed about three million posts. It flagged 147 pieces of content, humans reviewed them (he called that unpleasant in some cases), and ten were really quite misleading, so they went to the social media companies or the police. Rangarajan said the posts had little impact. However, the trial showed that the Electoral Commission now has a system to help voters, journalists and political parties deal with deepfakes. He expects attempts to use them to disrupt UK elections. The pilot began earlier in 2026 and monitored fake audio and videos designed to mislead voters about the election process or falsely show candidates doing or saying things. The Commission said it would publish the results. The system has a clear focus. Identifying and prosecuting the people behind deepfakes can take weeks or months, often long after an election. Instead, the Commission aims to act without first identifying who created the content. AI scans social media posts in real time and flags suspicious material for human review. If a post meets the required criteria, the Commission alerts the relevant candidates or parties, ideally within three hours of its first appearance. Rangarajan said this is roughly the time it takes for content to go viral. That narrow scope has edges. Full Fact, whose AI tools were monitoring more than a thousand candidates in the May elections, found a Glasgow candidate’s campaign videos built with AI. The Commission told Full Fact the clips fell outside its pilot because each was labeled an illustrative AI scene, even though the label sat at the end of the caption. The legal backdrop is the real problem. Rangarajan said the Commission was set up for money and people, and now it’s all about information, so it has to work out how laws from 1983 or 2000 apply in 2026. Earlier this year the Guardian reported, according to a summary on the Resilient Media for Democracy Observatory, that the Commission was seeking legally enforceable takedown powers from the government. Then there’s the part with no legal answer at all. Rangarajan said he believes at least one social network showed signs of algorithmic bias at election time, though he didn’t name it. His scenario is a platform that changes its recommendations during an election without warning, suggesting neighbors with one political view and suppressing others, so users think their neighbors have changed their minds. The Commission believes it has already detected some algorithmic bias in social media campaigns, but Rangarajan said UK law offers no clear solution. Experts and campaigners have also raised concerns about X’s role in UK politics and TikTok’s Chinese ownership. The Commission faces 30,000 to 40,000 cyberattacks a month, sometimes reaching 10,000 a day, including botnet attacks and phishing. Rangarajan wants stronger, more independent security capabilities and believes major social media monitoring could be handled by another body. Tech Policy Press sees his comments as a call to update election laws and possibly create new offenses. The next general election must take place by August 2029, but it could be called earlier, and it remains unclear whether lawmakers will act in time. For now, what the Commission has is a three-hour promise and a pilot that worked at small scale. Rangarajan describes the threat it’s meant for as “an absolutely certain attempt to use some of these deepfakes against the UK.” Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, Deepfakes)
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