Improperly Controlled Modification of Dynamically-Determined Object Attributes in Kibana Leading to Unauthorized Data Modification

Improperly Controlled Modification of Dynamically-Determined Object Attributes (CWE-915) in the case management functionality of Elastic Security in Kibana can lead to unauthorized modification of case data by an authenticated user who has not been granted case editing privileges, via Manipulating User-Controlled Variables (CAPEC-77). Object attributes accepted by the case management API were not subject to the same authorization enforcement applied in the user interface, so a low-privileged user could alter case records they were only entitled to view.

Cleartext Storage of Sensitive Information in an Environment Variable in Elastic Cloud on Kubernetes Leading to Information Disclosure

Cleartext Storage of Sensitive Information in an Environment Variable (CWE-526) in Elastic Cloud on Kubernetes (ECK) can lead to information disclosure via Retrieve Embedded Sensitive Data (CAPEC-37). When ECK reconciles a Fleet Server resource that authenticates to Elasticsearch with a service account token, the token is written into the generated workload specification in cleartext rather than being referenced from the Kubernetes Secret that ECK maintains for the other credentials on the same path. Any principal able to read workload specifications in the affected namespace can therefore read a live Elasticsearch credential, even when Kubernetes RBAC does not grant that principal access to Secrets.

Denial of Service via Negative top_n in llama.cpp Reranking Endpoint

llama.cpp through commit 97f06e9, when started with the --reranking flag, allows remote attackers to cause a denial of service (std::bad_alloc and HTTP 500) via a negative top_n value in a POST request to /rerank.

NVIDIA NeMo for Linux contains a vulnerability where an attacker may cause OS command injection. A successful exploit of this vulnerability may lead to code execution, data tampering, escalation of privileges and information disclosure.

Lantronix EDS5000 OS Command Injection

An issue was discovered in Lantronix EDS5000 2.1.0.0R3. The SSH Client and SSH Server pages are affected by multiple OS injection vulnerabilities due to missing sanitization of input parameters. An attacker can inject arbitrary commands in delete actions of various objects, such as server keys, users, and known hosts. Commands are executed with root privileges.

Unbounded memory allocation in RFC6587SyslogDeserializer (octet-counted framing) — remote DoS

RFC6587SyslogDeserializer, used by the Spring Integration syslog TCP inbound adapter to decode RFC 6587 / RFC 5424 frames, trusts the sender-supplied octet count of an octet-counted frame and allocates a byte array of exactly that size with no upper bound. Spring Integration 7.1.0 Spring Integration 7.0.0 - 7.0.5 Spring Integration 6.5.0 - 6.5.10 Spring Integration 6.4.0 - 6.4.12 Spring Integration 5.5.21 and earlier

Reactor Core windowTimeout fair-backpressure stream hang due to 20-bit index wrap-around

In Reactor Core, applications that use the Flux.windowTimeout operator with fairBackpressure enabled are vulnerable to a Denial of Service (DoS) condition. Reactor Core 3.8.0 - 3.8.6 Reactor Core 3.5.0 - 3.7.19 Reactor Core 3.4.41 and earlier

JsonToObjectTransformer resolves the json__TypeId__ message header to an arbitrary class without an allow-list

Spring Integration's JSON to object conversion uses the json__TypeId__ header to choose the deserialization target type, and resolves that header value to a class with ClassUtils.forName and no type/package allow-list. Spring Integration 7.1.0 Spring Integration 7.0.0 - 7.0.5 Spring Integration 6.5.0 - 6.5.10 Spring Integration 6.4.0 - 6.4.12 Spring Integration 5.5.21 and earlier

Predictable cache directory location allows local ONNX model substitution in Spring AI

A local attacker on a multi-user host can pre-create the deterministic cache path and plant a malicious ONNX model file. Spring AI 2.0.0 Spring AI 1.1.0 - 1.1.8 Spring AI 1.0.0 - 1.0.9

Unbounded recursion over attacker-controlled PDF outline tree in Spring AI PDF Document Reader

Analyzing a PDF with a deeply nested or cyclic table of contents can cause a StackOverflowError in the ingestion thread. Spring AI 2.0.0 Spring AI 1.1.0 - 1.1.8 Spring AI 1.0.0 - 1.0.9

Spring Data REST allows mutation of the version property of immutable aggregates via PUT

Spring Data REST does not preserve the persisted version (@Version) property of an aggregate root when handling an HTTP PUT against an immutable target type. Spring Data REST 5.1.0 Spring Data REST 5.0.0 - 5.0.6 Spring Data REST 4.5.0 - 4.5.12 Spring Data REST 4.0.0 - 4.4.15 Spring Data REST 3.7.20 and earlier

Authentication Bypass leads to Administrative control of adjacent network hosts in HPE Networking Fabric Composer

An authentication bypass vulnerability exists in the underlying operating system of HPE Networking Fabric Composer. Successful exploitation could allow an unauthenticated adjacent attacker to execute arbitrary code as a privileged user on the underlying operating system, leading to complete compromise of the AFC host.

Spring Security Authorization Server Dynamic Client Registration endpoints perform insufficient validation of client metadata

Authentication bypass by primary weakness vulnerability in Spring Security Spring Authorization Server. This issue affects Spring Authorization Server: from 7.0.0 through 7.0.4, from 1.5.0 through 1.5.6, from 1.4.0 through 1.4.9, from 1.3.0 through 1.3.10.

Qiskit SDK is vulnerable when deserializing QPY Files and may overflow the available stack space.

Qiskit could allow a local attacker to cause a denial of service due to a stack overflow during deserialization of QPY payloads. A malicious QPY payload can trigger a segmentation fault, causing the application to crash when deserializing untrusted input.

Spring Cloud Config Profile Substitution Can Allow Unintended Access To Files And Enable SSRF Attacks

Vulnerability in Spring Cloud when substituting the profile parameter from a request made to the Spring Cloud Config Server configured to the native file system as a backend, because it was possible to access files outside of the configured search directories.This issue affects Spring Cloud: from 3.1.X before 3.1.13, from 4.1.X before 4.1.9, from 4.2.X before 4.2.3, from 4.3.X before 4.3.2, from 5.0.X before 5.0.2.

Allocation of Resources Without Limits or Throttling in Elasticsearch Leading to Denial of Service

Allocation of Resources Without Limits or Throttling (CWE-770) in Elasticsearch can lead to a denial of service via Excessive Allocation (CAPEC-130). A user with elevated privileges can submit a specially crafted request that causes excessive memory consumption, which may render the affected node unavailable.

Cache Exhaustion in Stateful Retries leads to Denial of Service

An attacker can craft a large number of unique requests that trigger a failure, exhausting the capacity of the application-wide stateful retry cache. Once the cache is full, it permanently rejects any further updates, causing all later stateful retries and circuit breakers in the application to fail. Affected versions: Spring Retry 2.0.0 through 2.0.12; 1.3.0 through 1.3.4.

Incorrect Authorization in Kibana Leading to Unauthorized Disabling of Privilege Monitoring

Incorrect Authorization (CWE-863) in Kibana Entity Analytics can lead to a loss of security monitoring via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user holding only read-level Security feature access, and no Elasticsearch privileges, could stop the recurring Privilege Monitoring engine task for a Kibana space. Privileged user monitoring then stops producing data for that space while the engine continues to report a healthy state to operators.

Command Injection in mlflow/mlflow

A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.

ntfs: bound the attribute-list entry in ntfs_read_inode_mount()

In the Linux kernel, the following vulnerability has been resolved: ntfs: bound the attribute-list entry in ntfs_read_inode_mount() The $MFT attribute-list walk in ntfs_read_inode_mount() validates each entry only with "(u8 *)al_entry + 6 > al_end" and "(u8 *)al_entry + le16_to_cpu(al_entry->length) > al_end", but then reads al_entry->lowest_vcn (an __le64 at offset 8) and al_entry->mft_reference (offset 16) -- fields beyond the 6 bytes proven in range. al_entry->length is attacker-controlled and only required non-zero, so a short entry (e.g. length 8) placed at the tail passes both checks while the lowest_vcn / mft_reference reads fall past al_end. al_end is ni->attr_list + attr_list_size (the on-disk size); the buffer is kvzalloc(round_up(attr_list_size, SECTOR_SIZE)), so the sector rounding usually absorbs the over-read -- but when attr_list_size is a multiple of SECTOR_SIZE there is no slack and a crafted $MFT attribute list produces an out-of-bounds read at mount time. Validate the entry with ntfs_attr_list_entry_is_valid() (added in patch 1/3) before dereferencing it, matching the bound the other attribute-list walks now use. The validator already requires the length to cover the fixed header, which makes the separate "!al_entry->length" check redundant, so drop it too.