Every story tagged Serverless, curated for CIOs and IT leaders — ranked by source credibility, engagement, and freshness.
31 stories · open in the command center
Plane is an open-source project management tool. Prior to 1.4.0, Plane validates GITEA_HOST only for its URL scheme and does not reject hosts that resolve to private or internal IP addresses. The four outbound requests in the Gitea OAuth flow are derived from this unvalidated host and do not call validate_url(). In addition, avatar_url is taken from the Gitea user's profile, where users can configure external avatar URLs. After an administrator enables Gitea OAuth for a legitimate instance, a Gitea user can set an internal URL as the profile avatar and log in through Gitea, causing Plane to fetch the internal target without validation. This issue is fixed in 1.4.0.
Weaver e-Bridge contains an unauthenticated arbitrary file read vulnerability that allows remote attackers to access arbitrary files on the host system by supplying a file: URL to the downloadUrl parameter of the saveYZJFile endpoint. Attackers can exploit this flaw to read sensitive files such as /etc/passwd or configuration and credential files, and the same endpoint's support for http(s) URLs also enables server-side request forgery against internal network resources. Exploitation evidence was first observed by the Shadowserver Foundation on 2023-10-17.
Server-side request forgery in the OAuth2 discovery handling in Loom for AWS before 1.7.0 might allow an authenticated remote user to obtain the access token of another user of the deployment and to cause the application to issue requests to arbitrary internal network locations, via a crafted discovery document address supplied when registering a tool server or remote agent configured for delegated authentication. To remediate this issue, users should upgrade to version 1.7.0 or later.
Google’s new server-side Swift support signals that Swift is moving beyond Apple app development into cloud and microservices, giving CIOs another option for building backend services with strong concurrency safety and modern async APIs. For IT organizations, the strategic upside is potential developer productivity and code consistency across client and server stacks, but the business case will likely be strongest only where teams already have Swift expertise or need to support Apple-centric products; broad enterprise adoption still appears uncertain.
Cloudflare’s new Basin Data Platform moves its serverless analytics stack to general availability, positioning it as a lower-cost alternative for teams that want to reduce data movement, avoid cluster management, and build on open standards like Apache Iceberg. For CIOs and IT leaders, the strategic appeal is clearer multicloud data portability and potentially lower egress costs, but the fine print means organizations still need to model total cost carefully because some connected services and sink operations can still generate charges.
Memory makers now expect the RAM shortage to persist through at least 2028 as AI-driven demand for HBM and server DRAM absorbs more manufacturing capacity, tightening supply across enterprise and consumer markets. For CIOs and IT leaders, this means higher infrastructure costs, longer lead times, and a need to plan capacity, refresh cycles, and vendor relationships well in advance. Organizations should expect memory to remain a strategic constraint on AI, virtualization, and server expansion rather than a short-term pricing spike.
Cloudflare K2 adds a serverless, durable event-streaming layer that helps organizations decouple producers from consumers, improve resiliency, and support fan-out use cases like analytics and fraud detection without managing Kafka-style infrastructure. For IT leaders, the strategic value is lower operational overhead and independent scaling of compute and storage, but teams should weigh K2’s batching model and roughly 1-second p99 produce latency against real-time requirements. It is best suited for high-volume data movement and long-term retention at the edge, rather than low-latency queueing or message-by-message retry workflows.
Netlify’s shift from V8 isolates to Firecracker MicroVMs cuts median edge-function latency from 25–40 ms to about 5–6 ms, improves p99 performance, and raises availability to 99.998%, which directly improves customer experience for high-traffic, latency-sensitive digital services. Strategically, this shows that moving edge compute onto stronger isolation boundaries can deliver both speed and security without changing developer workflows, making the edge more viable for authentication, personalization, routing, and other business-critical functions. For IT organizations, the takeaway is that modernizing runtime architecture can reduce risk, increase resilience, and create headroom for more complex workload placement at the edge.
Topcoat’s latest Rust framework updates signal a push to make server-side application development both highly productive and fast, blending server rendering with selective client interactivity to reduce latency without sacrificing maintainability. For CIOs and technology leaders, the strategic implication is that Rust is moving up the stack from infrastructure into business applications, potentially offering stronger performance, lower memory usage, and more predictable architecture for web and server apps while also making AI-assisted development more effective through tighter conventions and abstractions. IT organizations should view this as an emerging path to build performant, scalable internal and customer-facing applications with fewer roundtrips, better control over complexity, and a clearer server-first model.
Adobe Experience Manager Forms JEE is affected by a Server-Side Request Forgery (SSRF) vulnerability that could result in privilege escalation. A low-privileged attacker could exploit this vulnerability to gain elevated access to internal resources. Exploitation of this issue does not require user interaction. Scope is changed.
This article shows how IT teams can extend the life of existing hardware to build a secure, cost-effective on-prem storage platform instead of relying on increasingly expensive cloud services. The broader strategic takeaway is that AI-driven demand is tightening supply and pushing up prices for storage and memory, making data sovereignty, resiliency, and infrastructure reuse more important for enterprise IT planning. For CIOs, the example underscores the value of hybrid and edge-capable architectures, pragmatic capacity planning, and designing systems that can be monitored and managed locally with minimal dependency on external vendors.
This high-severity OpenShift console vulnerability (CVSS 9.3) allows unauthenticated access to devfile-related endpoints, creating a material risk of exposing development assets, templates, and potentially sensitive internal configuration data. For CIOs and technology leaders, the strategic issue is not just endpoint exposure but the broader impact on platform trust, developer productivity, and the security posture of shared Kubernetes/OpenShift environments that support critical application delivery. IT organizations should treat this as an urgent remediation priority because weaknesses in the console layer can undermine governance across the full container platform and increase the likelihood of downstream compromise or data leakage.
Wiki.js through 2.5.314 contains a server-side request forgery vulnerability in the Image Prefetch renderer that fetches arbitrary URLs without protocol, host, or address validation. Attackers with page editing permissions can inject img elements with the prefetch-candidate class to make the server request internal services and cloud metadata endpoints, with responses returned to the attacker.
Apple is reportedly preparing to re-enter the enterprise server market with AI servers built around future M-series Ultra chips, potentially creating a new hardware option for AI workloads and signaling stronger competition in AI infrastructure. For CIOs and technology leaders, this could expand vendor choices for AI compute, especially for organizations already using Apple devices or seeking energy-efficient alternatives, but the long lead time to 2029, possible dependence on Nvidia networking, and ongoing memory shortages mean adoption remains uncertain and supply-chain constrained. IT organizations should view this as an indication that AI infrastructure is becoming more heterogeneous, which may require updated sourcing strategies, workload placement decisions, and closer monitoring of Apple’s enterprise roadmap.
Apple is reportedly exploring a long-term move into enterprise AI servers built on its future M8 Ultra chips, potentially positioning itself as a new hardware option for AI developers, businesses, and governments by 2029. If launched, the offering could expand Apple’s footprint beyond devices into data center infrastructure, signaling a strategic push into AI compute where performance, integration, and ecosystem control could differentiate Apple from incumbent server vendors. For IT organizations, the report suggests another potential platform to evaluate for AI workloads, especially where on-device-to-datacenter consistency, energy efficiency, and Apple ecosystem integration matter, though the timeline remains uncertain and the product could still be canceled.
Huly Platform through 0.7.426 contains a server-side request forgery vulnerability in the print service due to missing hostname allowlist validation. Authenticated workspace members can supply arbitrary URLs to the print endpoint, which Puppeteer renders and returns as downloadable PDFs or images, enabling access to internal metadata services and network hosts.
Lara Dashboard through 1.3.1 contains a server-side request forgery vulnerability in the POST /api/admin/builder/markdown/fetch endpoint that allows any authenticated user to fetch arbitrary URLs and read the response body. Attackers can read internal HTTP services and cloud metadata including IAM credentials by supplying malicious URLs without host validation or redirect restrictions.
PocketMine-MP versions >= 4.20.0 before 4.22.3 (and before 5.2.1 in the 5.x branch) fail to validate NBT tag types in BlockActorDataPacket. A player can crash the server by sending a packet containing sign NBT data with an incorrect tag type, triggering an unhandled UnexpectedTagTypeException that terminates the server process.
PocketMine-MP before 5.32.1 fails to validate uniqueness of pack UUIDs in ResourcePackClientResponsePacket STATUS_SEND_PACKS handling, allowing authenticated clients to trigger duplicate pack transmissions. Attackers can send multiple copies of valid pack UUIDs in a single packet to exhaust server memory and cause denial of service.
Dell’s planned $4 billion investment-grade bond sale signals that AI-driven server demand is strengthening the company’s financial position while it refinances 2026 debt. For CIOs and technology leaders, this suggests the AI infrastructure market remains resilient and capital-intensive, with vendors likely continuing to invest in supply, inventory, and capacity to meet demand. IT organizations should expect ongoing competition for server capacity and potential pricing pressure, while also monitoring how vendor financing and debt management could affect service levels, delivery timelines, and long-term product support.
Server-side request forgery (ssrf) in Skype for Business allows an unauthorized attacker to disclose information over a network.
PocketMine-MP versions before 4.4.2 fail to properly validate item IDs received from clients in itemstack NBT data. Attackers can send crafted item IDs outside the valid range to trigger an uncaught exception that crashes the server.
YesWiki is a wiki system written in PHP. Prior to version 4.6.6, YesWiki Bazar contains a stored Server-Side Template Injection (SSTI) vulnerability in the semantic template feature that can be escalated to confirmed Remote Code Execution (RCE). An authenticated administrator can place arbitrary Twig expressions into the Semantic template (Twig) field (bn_sem_template), and that content is later executed server-side when public semantic endpoints are requested. This issue has been patched in version 4.6.6.
FastChat contains an authentication bypass vulnerability in the /register_worker endpoint that allows unauthenticated attackers to register arbitrary worker addresses and perform server-side request forgery. Attackers can register malicious workers under victim model names to intercept user prompts, images, and responses, or probe internal network ports across the worker mesh.
A flaw was found in Jolokia's JSR-160 proxy functionality where insufficient validation of client-controlled JMX service URLs allows a bypass of the denylist introduced to mitigate CVE-2018-1000130. The proxy accepts a `target.url` value from a Jolokia POST request and passes it to `JMXServiceURL` and `JMXConnectorFactory` for establishing the remote JMX connection. The existing denylist only rejects URLs matching `service:jmx:rmi:///jndi/ldap:.*`, which can be bypassed using alternative valid JMX service URL forms, including `ldaps://` schemes or LDAP URLs with a non-empty JMX host component. These URLs are accepted as valid `JMXServiceURL` objects and can cause the Jolokia agent JVM to perform a JNDI lookup against an attacker-controlled LDAP endpoint. This can result in server-side request forgery (SSRF), forwarding of supplied JMX credentials to the remote endpoint, and potentially remote code execution depending on the classes and configuration available in the target JVM.
Portkey AI Gateway through 1.15.2 contains a server-side request forgery vulnerability in the /v1/proxy/* route that lacks requestValidator middleware. Attackers can set the x-portkey-custom-host header to internal addresses and forward requests with Authorization headers to reach internal services and exfiltrate provider API keys.
IBM Langflow OSS versions 1.0.0 through 1.11.1 contain a critical authenticated command-execution vulnerability (CVSS 9.9) that could let a compromised or malicious user run arbitrary operating system commands on affected systems. For CIOs and technology leaders, this creates immediate risk of service disruption, data exposure, and potential lateral movement in environments using Langflow for AI or workflow automation, making rapid remediation and exposure assessment a high-priority IT concern. Organizations should treat this as a material security issue that requires coordinated patching, access-control review, and monitoring across any deployed instances.
Cloudflare has launched Kitesurf, a cloud-hosted browser purpose-built for AI agents that leverages its existing Workers serverless infrastructure, enabling organizations to automate web-based workflows and interactions at scale. This development signals a strategic shift toward AI-native infrastructure and could reduce operational costs by offloading browser automation tasks to the cloud rather than maintaining on-premises solutions. IT leaders should evaluate how this capability could streamline RPA (robotic process automation), testing, and data collection workflows while assessing integration implications with existing Cloudflare investments.
AWS Lambda's @maxMemoryUsed metric is a misleading high-water mark tracked across entire execution environments rather than per-invocation, causing false memory leak alerts that can trigger unnecessary and counterproductive optimization efforts. The article demonstrates how apparent memory growth is often caused by glibc arena hoarding rather than actual leaks, with practical solutions like adjusting malloc thresholds and optimizing allocator strategies. IT leaders need to recalibrate their monitoring and alerting strategies for Lambda workloads to avoid costly misdiagnosis of performance issues.
Despite significant cloud modernization advances—including more granular compute models, increased autoscaling adoption, and managed services—resource utilization has remained stagnant, with 72% of Kubernetes workloads still using less than 50% of requested CPU capacity. This persistent underutilization suggests the problem is structural rather than technical, indicating that platform improvements alone cannot drive efficiency gains, and the resulting waste has compounding cost implications through normalized budgets and inflated cloud forecasts. For IT leaders, this reveals a critical gap between infrastructure modernization and operational discipline, requiring a shift from technology-focused solutions to governance and rightsizing practices.