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Search Results (365391 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2025-32911 | 1 Redhat | 6 Enterprise Linux, Rhel Aus, Rhel E4s and 3 more | 2026-06-29 | 9 Critical |
| A use-after-free type vulnerability was found in libsoup, in the soup_message_headers_get_content_disposition() function. This flaw allows a malicious HTTP client to cause memory corruption in the libsoup server. | ||||
| CVE-2025-32908 | 1 Redhat | 1 Enterprise Linux | 2026-06-29 | 7.5 High |
| A flaw was found in libsoup. The HTTP/2 server in libsoup may not fully validate the values of pseudo-headers :scheme, :authority, and :path, which may allow a user to cause a denial of service (DoS). | ||||
| CVE-2025-32906 | 1 Redhat | 6 Enterprise Linux, Rhel Aus, Rhel E4s and 3 more | 2026-06-29 | 7.5 High |
| A flaw was found in libsoup, where the soup_headers_parse_request() function may be vulnerable to an out-of-bound read. This flaw allows a malicious user to use a specially crafted HTTP request to crash the HTTP server. | ||||
| CVE-2025-3155 | 3 Debian, Gnome, Redhat | 25 Debian Linux, Yelp, Codeready Linux Builder and 22 more | 2026-06-29 | 7.4 High |
| A flaw was found in Yelp. The Gnome user help application allows the help document to execute arbitrary scripts. This vulnerability allows malicious users to input help documents, which may exfiltrate user files to an external environment. | ||||
| CVE-2025-14523 | 1 Redhat | 8 Enterprise Linux, Enterprise Linux Eus, Rhel Aus and 5 more | 2026-06-29 | 8.2 High |
| A flaw in libsoup’s HTTP header handling allows multiple Host: headers in a request and returns the last occurrence for server-side processing. Common front proxies often honor the first Host: header, so this mismatch can cause vhost confusion where a proxy routes a request to one backend but the backend interprets it as destined for another host. This discrepancy enables request-smuggling style attacks, cache poisoning, or bypassing host-based access controls when an attacker supplies duplicate Host headers. | ||||
| CVE-2025-13947 | 1 Redhat | 7 Enterprise Linux, Rhel Aus, Rhel E4s and 4 more | 2026-06-29 | 7.4 High |
| A flaw was found in WebKitGTK. This vulnerability allows remote, user-assisted information disclosure that can reveal any file the user is permitted to read via abusing the file drag-and-drop mechanism where WebKitGTK does not verify that drag operations originate from outside the browser. | ||||
| CVE-2025-13609 | 1 Redhat | 4 Enterprise Linux, Enterprise Linux Eus, Rhel E4s and 1 more | 2026-06-29 | 8.2 High |
| A vulnerability has been identified in keylime where an attacker can exploit this flaw by registering a new agent using a different Trusted Platform Module (TPM) device but claiming an existing agent's unique identifier (UUID). This action overwrites the legitimate agent's identity, enabling the attacker to impersonate the compromised agent and potentially bypass security controls. | ||||
| CVE-2025-13502 | 1 Redhat | 7 Enterprise Linux, Rhel Aus, Rhel E4s and 4 more | 2026-06-29 | 7.5 High |
| A flaw was found in WebKitGTK and WPE WebKit. This vulnerability allows an out-of-bounds read and integer underflow, leading to a UIProcess crash (DoS) via a crafted payload to the GLib remote inspector server. | ||||
| CVE-2025-10230 | 1 Redhat | 2 Enterprise Linux, Openshift | 2026-06-29 | 10 Critical |
| A flaw was found in Samba, in the front-end WINS hook handling: NetBIOS names from registration packets are passed to a shell without proper validation or escaping. Unsanitized NetBIOS name data from WINS registration packets are inserted into a shell command and executed by the Samba Active Directory Domain Controller’s wins hook, allowing an unauthenticated network attacker to achieve remote command execution as the Samba process. | ||||
| CVE-2025-1244 | 1 Redhat | 7 Enterprise Linux, Openshift Builds, Rhel Aus and 4 more | 2026-06-29 | 8.8 High |
| A command injection flaw was found in the text editor Emacs. It could allow a remote, unauthenticated attacker to execute arbitrary shell commands on a vulnerable system. Exploitation is possible by tricking users into visiting a specially crafted website or an HTTP URL with a redirect. | ||||
| CVE-2025-0624 | 1 Redhat | 7 Enterprise Linux, Openshift, Rhel Aus and 4 more | 2026-06-29 | 7.6 High |
| A flaw was found in grub2. During the network boot process, when trying to search for the configuration file, grub copies data from a user controlled environment variable into an internal buffer using the grub_strcpy() function. During this step, it fails to consider the environment variable length when allocating the internal buffer, resulting in an out-of-bounds write. If correctly exploited, this issue may result in remote code execution through the same network segment grub is searching for the boot information, which can be used to by-pass secure boot protections. | ||||
| CVE-2023-32256 | 1 Redhat | 1 Enterprise Linux | 2026-06-29 | 7.5 High |
| A flaw was found in the Linux kernel's ksmbd component. A race condition between smb2 close operation and logoff in multichannel connections could result in a use-after-free issue. | ||||
| CVE-2025-7958 | 1 Trellix | 1 Network Security | 2026-06-29 | N/A |
| A Code Injection vulnerability existed in Trellix Network Security CM and NX. A locally authenticated admin user can execute arbitrary code using the web interface and Alert artifact details. | ||||
| CVE-2026-57920 | 1 Peplink | 1 Incontrol | 2026-06-29 | 7.7 High |
| Peplink InControl 2 through 2.14.2 before 2026-06-03 allows use of a semicolon to bypass access-control rules for certain /rest/o/{orgId} endpoints. | ||||
| CVE-2026-54753 | 1 Nrwl | 1 Nx | 2026-06-29 | 5.9 Medium |
| Nx is a monorepo solution for TypeScript and polyglot codebases. From 17.0.4 until 22.7.2 and 23.0.0-beta.2, the local HTTP server started by nx graph sent Access-Control-Allow-Origin: * on every response, letting any website a developer visited read the server's responses cross-origin — including the full project graph and the output of the /help endpoint, which runs a target's configured help command. The practical impact is typically cross-origin information disclosure, but can be arbitrary command injection in rare cases. This vulnerability is fixed in 22.7.2 and 23.0.0-beta.2. | ||||
| CVE-2026-29509 | 1 Wummel | 1 Patool | 2026-06-29 | 5.4 Medium |
| Patool before 4.0.5 contains a path traversal vulnerability in the safe_extract() function in patoolib/programs/py_tarfile.py when running on Python before 3.12, where the is_within_directory() helper uses os.path.commonprefix() for character-level string comparison instead of path-level comparison, allowing a crafted archive member path to bypass the containment check. Attackers can supply a malicious archive with specially crafted member paths to write arbitrary files. | ||||
| CVE-2026-57676 | 2 Matteo Manna, Wordpress | 2 Simple User Avatar, Wordpress | 2026-06-29 | 4.3 Medium |
| Authorization Bypass Through User-Controlled Key vulnerability in Matteo Manna Simple User Avatar allows Exploiting Incorrectly Configured Access Control Security Levels. This issue affects Simple User Avatar: from n/a through 4.9. | ||||
| CVE-2026-56457 | 1 Hcltech | 1 Devops Deploy | 2026-06-29 | 4.3 Medium |
| HCL DevOps Deploy / HCL Launch is susceptible to an exposure of sensitive information vulnerability in output logs. This exposure could allow an attacker with access to the logs to potentially obtain sensitive values related to that step. | ||||
| CVE-2026-42440 | 1 Apache | 1 Opennlp | 2026-06-29 | 7.5 High |
| OOM Denial of Service via Unbounded Array Allocation in Apache OpenNLP AbstractModelReader Versions Affected: before 1.9.5 before 2.5.9 before 3.0.0-M3 Description: The AbstractModelReader methods getOutcomes(), getOutcomePatterns(), and getPredicates() each read a 32-bit signed integer count field from a binary model stream and pass that value directly to an array allocation (new String[numOutcomes], new int[numOCTypes][], new String[NUM_PREDS]) without validating that the value is non-negative or within a reasonable bound. The count is therefore fully attacker-controlled when the model file originates from an untrusted source. A crafted .bin model file in which any of these count fields is set to Integer.MAX_VALUE (or any value large enough to exhaust the available heap) triggers an OutOfMemoryError at the array allocation itself, before the corresponding label or pattern data is consumed from the stream. The error occurs very early in deserialization: for a GIS model, getOutcomes() is reached after only the model-type string, the correction constant, and the correction parameter have been read; so the attacker pays no meaningful size cost to weaponize a payload, and a single small file can crash a JVM that loads it. Any code path that deserializes a .bin model is affected, including direct use of GenericModelReader and any higher-level component that delegates to it during model load. The practical impact is denial of service against processes that load model files from untrusted or semi-trusted origins. Mitigation: * 2.x users should upgrade to 2.5.9. * 3.x users should upgrade to 3.0.0-M3. Note: The fix introduces an upper bound on each of the three count fields, checked before array allocation; counts that are negative or exceed the bound cause an IllegalArgumentException to be thrown and the read to fail fast with no large allocation. The default bound is 10,000,000, which is well above the entry counts of legitimate OpenNLP models but far below any value that would threaten heap exhaustion. Deployments that legitimately need to load models with more entries than the default can raise the limit at JVM startup by setting the OPENNLP_MAX_ENTRIES system property to the desired positive integer (e.g. -DOPENNLP_MAX_ENTRIES=50000000); invalid or non-positive values fall back to the default. Users who cannot upgrade immediately should treat all .bin model files as untrusted input unless their provenance is verified, and should avoid loading models supplied by end users or fetched from third-party repositories without integrity checks. | ||||
| CVE-2026-42027 | 1 Apache | 1 Opennlp | 2026-06-29 | 9.8 Critical |
| Arbitrary Class Instantiation via Model Manifest in Apache OpenNLP ExtensionLoader Versions Affected: before 1.9.5, before 2.5.9, before 3.0.0-M3 Description: The ExtensionLoader.instantiateExtension(Class, String) method loads a class by its fully-qualified name via Class.forName() and invokes its no-arg constructor, with the class name sourced from the manifest.properties entry of a model archive. The existing isAssignableFrom check correctly rejects classes that are not subtypes of the expected extension interface (BaseToolFactory for factory=, ArtifactSerializer for serializer-class-*), but the check runs after Class.forName() has already loaded and initialized the named class. Class.forName() with default initialization semantics executes the target class's static initializer before returning, so an attacker who can supply a crafted model archive can cause the static initializer of any class on the classpath to run during model loading, regardless of whether that class passes the subsequent type check. Exploitation requires a class with attacker-useful side effects in its static initializer (for example, JNDI lookup, outbound network I/O, or filesystem access) to be present on the classpath, so this is not a drop-in remote code execution; however, the attack surface grows as third-party model distribution becomes more common (community model repositories, Hugging Face-style sharing), where users routinely load model files from origins they do not control. A secondary, narrower vector affects deployments that ship legitimate BaseToolFactory or ArtifactSerializer subclasses with side-effecting no-arg constructors: a malicious manifest can name such a class and force its constructor to run during model load. Mitigation: * 2.x users should upgrade to 2.5.9. * 3.x users should upgrade to 3.0.0-M3. Note: The fix introduces a package-prefix allowlist that is consulted before Class.forName() is invoked, so the static initializer of a disallowed class is never executed. Classes under the opennlp. prefix remain permitted by default. Deployments that load models referencing factories or serializers outside opennlp.* must opt those packages in, either programmatically via ExtensionLoader.registerAllowedPackage(String) before the first model load, or by setting the OPENNLP_EXT_ALLOWED_PACKAGES system property to a comma-separated list of allowed package prefixes. Users who cannot upgrade immediately should ensure that all model files are sourced from trusted origins and should audit their classpath for classes with side-effecting static initializers or constructors, particularly any that perform JNDI lookups, network requests, or filesystem operations during class initialization. | ||||