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Showing posts with label Credential Security. Show all posts
data security
blocking unauthorized access Credential Security CVE CVE exploits CVEs Cyber Security Cyberattacks Data Center data security

Atlassian CVE-2026-21589 Exploited Hours After Public Disclosure

 

Attackers started scanning the systems vulnerable to the Atlassian flaw several hours after the researchers published the technical details and proof-of-concept code. Assigned the identifier CVE-2026-21589, the vulnerability impacts several self-hosted Data Center products and could allow unauthorized access to the credentials in some circumstances. 

The problem was disclosed by Atlassian on October 5, 2026, with a CVSS score of 9.3. The products affected by the bug are Bitbucket, Confluence, Jira Software, Jira Service Management, Bamboo, Crowd, Crucible and Fisheye. The company already released fixes for all software versions. The flaw allows the adversaries to access some files in the application root directory without providing proper authentication. 

However, it is only possible if the attacker knows the exact name and location of the file because the vulnerability does not allow listing the contents of a directory. Therefore, the attack surface is limited, but there is still a potential risk if the adversary somehow manages to guess the file location. The security researchers from WatchTowr posted the proof-of-concept code and technical details of the discovered flaw on October 6, 2026. 

They managed to identify the origin of the issue – a popular library used in all Atlassian products mentioned above. More importantly, they found out that the vulnerability could be chained to get access to the configuration file with Crowd application credentials in some circumstances. According to WatchTowr, Crowd is Atlassian’s identity management system, and the mentioned scenario involves Jira Software connected to it. 

In this case, the attacker could use the credentials to create a new administrative account and assign it to the Jira administration group. As a result, the adversary would be able to attain full privileged access to the targeted Jira Software instance. In addition, the security company showed how the proof-of-concept code could be used to take over a victim’s account in case of success. Moreover, the researcher added that the attacks are not random, but rather targeted. 

Several hours after the publication of the results, the exploitation framework started scanning corporate websites to find the instances of the affected applications. On October 8, 2026, Previdian, the exploitation intelligence company, counted 190 attempts from 32 IP addresses in 10 countries. Although the United States Cybersecurity and Infrastructure Agency (CISA) has not included the vulnerability in the Known Exploited Vulnerabilities list, the attacks indicate that the problem needs urgent attention. 

The companies using Atlassian’s products should make sure that the affected applications are updated to the latest versions. Those who are not able to do it right away should take the vulnerable instances of the software offline or follow the recommendations stated by Atlassian. In particular, the company suggests deploying the blocking rules to the firewalls or using the Web Server rewrite rules. 

In addition, the organizations with Jira Software and Crowd should make sure that the mentioned applications are not at risk of compromise as well. As seen from the recent incident, the response to the exposure of the flaw may take too long. Moreover, the attacks are often launched right after the proof-of-concept code is published. Therefore, it is critical to apply the necessary security updates as soon as possible.
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Google Microsoft
AI technology China CyberSecurity Credential Security Cyber Attacks Cyber Phishing data security Google Microsoft

China-Aligned TA419 Uses Microsoft AitM Phishing Against U.S. AI Policy Experts

 

A China-linked cyber-espionage group is targeting Microsoft credentials belonging to U.S. policy and regulatory specialists in artificial intelligence, using highly focused social engineering techniques. 

TA419, the threat actor behind the campaign, has diversified its interest from defense, national security, energy, international relations and foreign policy to include those involved in the policy and regulation of AI, a Proofpoint analyst reported. The group has been targeting U.S. and Japan-based think tanks, defense contractors, universities and law firms through credential phishing since at least April 2025. 

One technique, deployed in a February 2026 campaign, involved impersonating prominent figures in economic and AI policy, as well as an Anthropic employee, in an email titled “Request for Feedback on Military Integration of Claude” to influence an AI policymaker at a U.S. think tank. Similarly, around July, the group began targeting individuals including a former White House Office of Science and Technology Policy (OSTP) leadership team member with an impersonation campaign. The attack chain is designed to appear to have come from a trusted source, not direct phishing. 

First, the victim receives an innocuous request designed to gain the confidence of their target by referencing a shared professional interest. If it gets a response, it then replies with a shortened URL. Once the link is clicked, the victim is directed to a Microsoft OneDrive-like adversarial in-the-middle phishing site after several redirections. The Cloudflare Turnstile Captcha is integrated into the attack chain, helping to lend credibility to the link. 

The credential harvesting component of the attack uses a technique called Frameless BitB, which uses a browser-in-the-browser approach to create the illusion of a separate window using only HTML, CSS and JavaScript. This differs from previous use of Bitb by this threat actor, which used an iframe. Proofpoint noted that TA419 has been modifying an open-source iteration of the attack to incorporate its own telemetry and automation components. The campaign uses an in-the-middle proxy to compromise Microsoft authentication by impersonating a legitimate login page.

It appears to be a legitimate login page; however, it is actually using the authentication token from the user’s Microsoft account to gain access to the account. This technique can be challenging to detect because the Microsoft logon page can appear to be authentic while the attacker’s application window is using some of the user’s session information. This allows the attacker to use the credentials to access the Microsoft account. Proofpoint noted that the activity supports Chinese intelligence interests by providing insight into the U.S. regulatory and policy environment around AI. 

The intensifying U.S.-vs-China strategic competition over AI, including issues around model distillation and export controls, appears to be a catalyst for the campaign. Entities should consider implementing phishing-resistant authentication factors such as passkeys, and individuals who received unexpected professional or professional correspondence should take steps to independently verify the request before responding or following any links.  

While the shift to AI policy experts represents a new focus area for TA419, it is not a significant change in the group’s interests. According to Proofpoint, this is an evolution, rather than a revolution, of the group’s current targeting.
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Microsoft security
Credential Security Cyber Phishing Cyber Security Data protection data security Microsoft Microsoft security

Microsoft Warns Users About Rising QR Code Phishing and Quishing Scams

 

Microsoft’s cybersecurity researchers have uncovered a growing wave of phishing scams using QR codes hidden inside emails, PDF files, and fake CAPTCHA pages. Instead of clicking suspicious links, victims scan QR codes that secretly redirect them to fraudulent websites designed to steal login credentials and session data. The attacks spread quickly because they bypass many traditional security filters and often appear harmless at first glance. 

Known as “quishing,” these scams hide malicious links inside QR codes, avoiding the usual warning signs tied to suspicious URLs. Emails often create urgency through fake compliance notices, security alerts, or missed-message warnings, encouraging users to scan the code without carefully checking the sender. According to Microsoft, attackers are impersonating HR teams, IT departments, managers, and office administrators to make messages appear legitimate. 

Once scanned, users are routed through several webpages before landing on counterfeit login portals built to capture usernames, passwords, and even live session tokens capable of bypassing some two-factor authentication protections. Researchers say more than 35,000 users across approximately 13,000 organizations worldwide have already been targeted, with cases continuing to rise. Many people trust QR codes because they are commonly used for menus, payments, and sign-ins, making them less likely to question the risks behind scanning one. 
Cybercriminals are exploiting that familiarity to trick users into exposing sensitive information. A recent case highlighted by Digit.in demonstrated how convincing these scams can be. Employees reportedly received emails appearing to come from an Office 365 administrator claiming several messages were awaiting approval. Instead of links, the email included a QR code directing users elsewhere. Investigators tested the QR code using a freshly wiped mobile device across Android and iOS platforms to minimize potential risks. 

While the QR codes in that case did not install malware or alter device settings, the test showed how easily similar scams could deceive unsuspecting users. Security professionals warn that scanning unfamiliar QR codes on devices containing banking apps, work credentials, personal photos, or confidential files can expose users to serious threats without obvious warning signs. Experts recommend avoiding QR codes sent through unsolicited emails, verifying senders carefully, and checking linked addresses before entering passwords. 

As cybercriminals increasingly rely on social engineering instead of direct hacking, simple actions like scanning a QR code are becoming new entry points for digital attacks.
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Lunar Survey
Breach Monitoring Credential Security Cyber Security Infostealer Threats Lunar Survey

Beyond Basic Monitoring: Why 2026 Demands Advanced Credential Defense

 

In today's cybersecurity landscape, stolen credentials represent a paramount threat, with infostealers harvesting 4.17 billion credentials in 2025 alone. A Lunar survey reveals that 85% of organizations view them as a high or very high risk, ranking them among the top three priorities for 62% of enterprises. Yet, many still rely on basic, checkbox-style monitoring tools that fail to address the evolving sophistication of attacks. 

Traditional breach monitoring focuses narrowly on data breaches while overlooking infostealer logs, combolists, and underground marketplaces. These tools suffer from high latency, stale data, and a lack of automation or forensic details like compromised accounts, infected devices, or stolen session cookies. Only 32% of surveyed enterprises use dedicated solutions, while 17% have none, leaving critical blind spots.IBM reports credential-related breaches cost $4.81-4.88 million on average. 

Modern infostealers like LummaC2 and AMOS bypass MFA and EDR by targeting active session tokens from unmanaged devices, enabling attackers to access accounts without passwords. Monthly checks cannot match the speed and scale of these threats, which evade detection through non-forensic data and ultra-low prices (ULPs) on dark web forums. This "breach monitoring paradox" persists even among knowledgeable teams.

To counter this, organizations must adopt continuous, normalized monitoring across breaches, stealer logs, and channels for a deduplicated exposure view. Targeted automation reduces false positives, prioritizing high-risk identities and sessions.Integrating behavioral analysis and session integrity checks detects post-authentication anomalies. AWS environments highlight similar issues, where manual monitoring fails against dynamic changes and 24/7 threats. 

Redefining breach monitoring as an ongoing program—beyond one-off products—delivers visibility, context, and automated playbooks. In 2026, with AI-powered attacks rising and detection times averaging 132 days, proactive strategies are essential. Enterprises ignoring this shift risk catastrophic losses amid infostealer proliferation.
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