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Connecting the Dots: Securing the Overlooked Corners of the Software Development Lifecycle (SDLC) Supply Chain

Unit 42 warns attackers increasingly target CI/CD pipelines and developer tools rather than application code, urging full SDLC supply chain visibility.

Palo Alto Networks Unit 42 research argues attackers are shifting focus from application code to overlooked corners of the software development lifecycle supply chain, including CI/CD pipelines and developer tooling. The write-up calls for total SDLC visibility and strict security controls to defend these developer-facing attack surfaces.

Palo Alto Unit 42 · 25d agoResearch in the wild

Closing the Blind Spot: Securing Personal Repositories in the Software Supply Chain

Wiz highlights personal developer repositories as a supply chain blind spot leaking corporate secrets, offering correlation-based risk validation and remediation.

Wiz argues that developers' personal code repositories are a blind spot in software supply chain security where corporate secrets quietly escape. The company describes an approach that correlates personal repositories to specific developers, validates the actual risk, and drives remediation. No specific incident or vulnerability is disclosed in the announcement.

Wiz Blog · Aug 13, 2026Tools2

Webinar: How malicious OAuth apps can lead to Google Workspace breaches

BleepingComputer webinar will dissect two Google Workspace breaches caused by malicious OAuth apps and social engineering, hosted September 23 with Material Security.

On September 23, 2026, BleepingComputer will host a webinar with Material Security examining two real attacks that used malicious OAuth applications and social engineering to breach Google Workspace environments. Rather than stealing credentials, attackers persuaded users to authorize malicious apps, gaining access to data through the granted permissions. The session covers first-hour response decisions and which security controls provide the greatest value for fast-growing organizations.

BleepingComputer · 1d agoPhishing & fraud

How Developers Prevent Production Risk at the Source

Wiz argues shift-left code-stage security cuts remediation costs and ships Wiz Code, WizOS, and WizCLI to catch flaws pre-deployment.

A Wiz blog post argues that fixing vulnerabilities at the code stage costs a fraction of production remediation, citing the node:20-slim base image which ships 14 known CVEs, three of them critical. It claims AI agents can now analyze open-source commits and generate working exploits in minutes, shrinking the window between a public fix and automated attacks. The post promotes WizOS near-zero-CVE base images, WizCLI and MCP-server checks inside developer and AI agent sessions, and Wiz Code scanning across pull requests, repositories, and pipelines covering SAST, SCA, secrets, and IaC misconfigurations.

Wiz Blog · 13d agoIndustry1

Putting models to the secure coding test: Plan vs default mode

Datadog Security Labs tested Sonnet 5, Composer 2.5, and GPT 5.5 to see if plan mode yields more secure code than default mode.

Datadog Security Labs evaluated whether plan mode produces measurably more secure code than default mode. The test covered three frontier coding models: Sonnet 5, Composer 2.5, and GPT 5.5. The results inform how engineering teams should configure AI coding assistants to reduce insecure code. This is an AI security evaluation, not an incident report.

Datadog Security Labs · 28d agoAI safety & security

The Security Feature Location Problem

Researchers formalize security feature location, mapping code regions to security features like authentication and encryption to audit implementations.

The paper introduces security feature location: the task of relating code locations to implemented security features such as authentication and encryption. It argues the task enables developers to understand security implementations and assess whether intended security properties are actually enforced in software systems.

arXiv cs.CR · 11d agoResearch

AI Is Ending the Era of Hidden Vulnerabilities — Are Vendors Ready?

Dark Reading argues AI-assisted bug discovery is flooding vendors with vulnerability reports, straining disclosure processes and secure-by-design commitments.

The Dark Reading analysis describes a surge of bug reports driven by AI-powered discovery, exposing bottlenecks in vendor triage and disclosure pipelines. It argues this volume is revealing secure-by-design failures and questions whether vendors can keep pace with the rising tide of findings.

Dark Reading · 11d agoIndustry

Hackers Actively Exploiting FortiGate Firewalls to Deploy Custom Node.js Malware

Attackers actively exploit CVE-2025-25249 in FortiGate firewalls to deploy PivotC2, a Node.js RAT that decrypts VPN and admin credentials.

SOCRadar assesses with high confidence that threat actors are actively exploiting CVE-2025-25249, a CVSS 9.8 heap buffer overflow in the cw_acd daemon (CAPWAP, UDP 5246) affecting FortiOS 6.4-7.6.3 and FortiSwitchManager 7.0.x/7.2.x. Attackers deploy fortirun.bin and PivotC2, a Node.js post-exploitation framework that harvests configurations and decrypts SSL-VPN, wireless, and admin credentials using AES-256-CBC and AES-128-GCM. Over 30,000 FortiGate IPs were scanned and 178 devices compromised, including two confirmed full intrusions of US organizations with Exchange mailbox exfiltration to Wasabi storage. STRU attributes the campaign to a Russian-speaking, financially motivated cybercrime operator.

Cyber Security News · 7d agoExploit / PoC in the wildCVE-2025-252491

An Empirical Security Analysis of Open-Source Software Used in Onboard Satellite Systems

Study of 126 onboard satellite OSS repositories finds 2,827 security findings, 72% medium severity or higher, dominated by memory safety and code quality weaknesses.

Researchers performed an empirical security analysis of 126 public repositories of open-source software used in onboard satellite systems using SBOM generation, software composition analysis, static application security testing, infrastructure-as-code analysis, and secret scanning. After cleaning and deduplication the pipeline produced 2,827 findings, with medium-severity findings accounting for 49% and 72% classified medium or higher. A CWE-based taxonomy mapped all findings to eight weakness families, with Memory Safety and Code Quality dominating, followed by Input Validation and Injection. Project-developed code accounted for 81.4% of findings, though external dependency code remained relevant; findings do not establish mission-specific exploitability.

arXiv cs.CR · 1d agoResearch1

Trusting-Trust Attack against an Entire Linux Distribution (via the strip utility)

ArXiv paper shows the trusting-trust compiler backdoor technique can compromise an entire Linux distribution via the strip utility.

The paper (arXiv 2607.24888) demonstrates that Ken Thompson's trusting-trust attack, long viewed as a compiler-specific threat, can backdoor an entire Linux distribution by targeting the strip utility. A compromised tool reproduces its backdoor in subsequent rebuilds of itself, generalizing the attack surface beyond compilers. The finding has supply-chain implications for build reproducibility and distribution trust, though it is a research result with no observed real-world exploitation.

Lobsters · security · 10d agoResearch

Hackers Impersonate IT Support on Microsoft Teams to Take Control of Employee PCs

Microsoft warns of a human-operated campaign where attackers pose as IT support in Teams to gain remote PC control and reach domain controllers.

Microsoft Threat Intelligence observed attackers abusing Microsoft Teams external collaboration to impersonate IT/helpdesk staff, persuading employees to grant screen control via Quick Assist or RMM tools. Operators deploy malicious MSI packages via silent msiexec, run encrypted JavaScript implants through portable Node.js, and persist via EdgeUpdate Run keys or Startup folder entries. The Node.js backdoor uses HTTPS long-polling C2, captures screenshots, enumerates Active Directory, and moves laterally over WinRM (TCP 5985) to domain controllers and certificate authorities. Initial access maps to MITRE ATT&CK T1566.003 (Spearphishing via Service); no Teams vulnerability is exploited.

GBHackers · 7d agoPhishing & fraud in the wild

Version Control DFIR: a Cheatsheet to GitHub, GitLab, Bitbucket, and Azure DevOps

Wiz published a DFIR cheatsheet covering log visibility, incident readiness, and threat hunting across GitHub, GitLab, Bitbucket, and Azure DevOps.

Wiz researchers released a practitioner's guide to version control system forensics, incident response, and threat hunting. The cheatsheet maps log sources, audit capabilities, and hunting workflows across GitHub, GitLab, Bitbucket, and Azure DevOps. It aims to improve incident readiness for source code and CI/CD compromise scenarios.

Wiz Blog · 19d agoResearch1

Senior engineers are spending their week cleaning up AI-generated code

New Relic study finds AI-generated code doubles critical runtime issues, with senior engineers losing a third of their week to fixes.

A New Relic survey of U.S. technology leaders reports AI now writes the majority of shipped code, with senior SRE and DevOps engineers spending up to a third of their week triaging and refactoring it. A large majority of organizations had at least one AI-related production failure in the past six months, and roughly three in ten saw newly introduced security vulnerabilities. AI-generated code showed nearly twice as many critical runtime issues as peer-reviewed human-authored code, with gaps concentrated in edge cases, concurrency, deprecated APIs, and complex state changes. Most teams now prompt AI tools to embed logs and traces directly into generated code.

Help Net Security · 23d agoAI industry1

AI slops from Eve

oss-security moderator Solar Designer approved three AI-generated vulnerability reports from automated security researcher Eve, sparking debate over AI slop on the list.

oss-security moderator Solar Designer approved three posts submitted by Eve, described as an 'automated security researcher', noting they lacked Date headers and arrived on the list server on September 9. He expressed uncertainty about their value but suggested they may have historical significance as early examples of AI-generated security reports at the dawn of AI security research. The post is meta-commentary on AI-generated content reaching a vulnerability disclosure mailing list rather than a specific vulnerability disclosure itself.

oss-securityupdated · 2d agofirst · 6d agoIndustry 12 sources

CS-Guard: Benchmarking LLM Guardrails for Code Generation Security

CS-Guard benchmark shows LLM code-generation guardrails fail widely, with ~50% jailbreak ASR text-to-code and up to 100% code-to-code.

Researchers introduce CS-Guard, the first systematic benchmark for evaluating LLM guardrails for code generation security, covering text-to-code (1,000 malware-generation prompts, 7 jailbreak attacks, and a novel fictional scenario attack) and code-to-code (331 prompts across infilling, completion, and translation). They evaluate 9 guardrails across seven LLMs, finding average jailbreak attack success rates around 50% for text-to-code and 14.4% to nearly 100% for code-to-code. The fictional scenario attack achieves ASR close to 100% across many guardrails, raising reliability concerns for real-world software development. The benchmark and data are released publicly.

arXiv cs.CR · 7d agoAI safety & security1

Learn How to Build Security Operations Ready for AI

Wiz sponsors a webinar on building AI-ready security operations, focusing on attack-path visibility, exposure prioritization, and faster detection-to-remediation workflows.

A contributed piece promotes next week's Wiz webinar, How to Build AI Threat Readiness Across Your Security Operations, featuring a Wiz expert. The session covers using unified security context to separate urgent exposures from noise, understand attack paths across cloud, code, identities, SaaS, and AI services, and connect validated risks to remediation owners.

The Hacker News · 19d agoIndustry

2026-011: Critical Vulnerabilities in SAP Kernel and NetWeaver Message Server

SAP patched two critical flaws, OVERPASS (CVE-2026-44756, CVSS 10.0) and S4GET (CVE-2026-58240), allowing unauthenticated attackers to execute OS commands on SAP hosts.

On SAP's September 2026 Security Patch Day, SAP released Security Notes 3747649 and 3759472 fixing two critical unauthenticated remote vulnerabilities found by Onapsis. CVE-2026-44756 ('OVERPASS', CVSS 10.0) is a memory corruption flaw in Extended Passport (EPP) deserialisation in the SAP Kernel; CVE-2026-58240 ('S4GET', CVSS 9.8) is a missing authentication check in the NetWeaver Message Server that lets attackers register as trusted cluster nodes. Successful exploitation of either can yield OS command execution as the SAP service account, leading to full system and business data compromise, and CERT-EU urges immediate patching. No in-the-wild exploitation is reported.

N-able N-central Pre-Auth RCE Flaw Exploited in the Wild

CISA added CVE-2026-86218 (CVSS 10.0), a pre-auth RCE in N-able N-central, to KEV after N-able confirmed in-the-wild exploitation; patch by September 11.

CISA added CVE-2026-86218, a maximum-severity static code injection flaw enabling pre-authentication remote code execution in N-able N-central, to its Known Exploited Vulnerabilities catalog with a September 11, 2026 deadline for federal agencies. The flaw is fixed in N-central 2026.3 Hotfix 4 (released September 5), and N-able told customers it has been observed being exploited in the wild. Separately, Huntress is investigating the compromise of a fully patched customer N-central environment on September 4 and cannot yet confirm which flaw was used, while Rapid7-disclosed CVE-2026-86206 and CVE-2026-86207 can be chained by an unauthenticated attacker to create a rogue System Administrator account.