| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| On affected platforms running Arista EOS with Simple Network Management Protocol (SNMP) configured, SNMPv3 local or remote user credentials may be exposed as a one-way hashed, localized key value within the device's running and sanitized configurations. An authenticated user who gains access to this sensitive information could leverage it to perform unauthorized read operations on SNMP tables or to send fraudulent trap notifications to the Network Management System (NMS).
This issue was discovered internally by Arista, and the company is not aware of any malicious exploitation of this vulnerability in customer networks. |
| Http4s is a Scala interface for HTTP services. Prior to 0.23.35 and 1.0.0-M47, Ember’s HTTP/1.1 parser accepts differing duplicate Content-Length headers and uses the last value instead of rejecting the message. When an Ember server is behind a keep-alive intermediary that selects a different occurrence, an unauthenticated attacker can create CL.CL request smuggling that bypasses front-end controls, captures a later user’s headers, or poisons a cache. The shared client parser can also misframe responses from a malicious or compromised upstream when the client acts as a proxy for multiple downstream consumers. This issue is fixed in versions 0.23.35 and 1.0.0-M47. |
| Http4s is a Scala interface for HTTP services. Prior to 0.23.35 and 1.0.0-M47, Ember’s chunk decoder trims the chunk-size token and accepts leading plus or minus signs instead of requiring one or more hexadecimal digits followed by the required CRLF. When an intermediary forwards chunked data without re-encoding and interprets malformed chunk boundaries differently, an unauthenticated attacker can create TE.TE request smuggling that bypasses intermediary controls, poisons caches, or hijacks the request queue. The same response-path leniency can enable response smuggling against an ember-client used as a gateway when the upstream is malicious or compromised. This issue is fixed in versions 0.23.35 and 1.0.0-M47. |
| Vulnerability in the Oracle Hyperion Financial Management product of Oracle Hyperion (component: Security). The supported version that is affected is 11.2.26.0.000. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Hyperion Financial Management. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Hyperion Financial Management accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Hyperion Financial Management. CVSS 3.1 Base Score 7.1 (Confidentiality and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L). |
| Vulnerability in the Oracle Hyperion Financial Management product of Oracle Hyperion (component: Security). The supported version that is affected is 11.2.26.0.000. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Hyperion Financial Management. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Hyperion Financial Management accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Hyperion Financial Management. CVSS 3.1 Base Score 7.1 (Confidentiality and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L). |
| Vulnerability in the Oracle Hyperion Financial Management product of Oracle Hyperion (component: Security). The supported version that is affected is 11.2.26.0.000. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Hyperion Financial Management. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle Hyperion Financial Management, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Hyperion Financial Management accessible data as well as unauthorized update, insert or delete access to some of Oracle Hyperion Financial Management accessible data. CVSS 3.1 Base Score 7.6 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:L/A:N). |
| Vulnerability in the Oracle Agile PLM product of Oracle Supply Chain (component: Application Server). The supported version that is affected is 9.3.6. Difficult to exploit vulnerability allows unauthenticated attacker with access to the physical communication segment attached to the hardware where the Oracle Agile PLM executes to compromise Oracle Agile PLM. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Agile PLM accessible data as well as unauthorized access to critical data or complete access to all Oracle Agile PLM accessible data. CVSS 3.1 Base Score 6.8 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:A/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N). |
| A path handling issue was addressed with improved validation. This issue is fixed in iOS 26.7 and iPadOS 26.7, iOS 27 and iPadOS 27, macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7, visionOS 27. Extracting a maliciously crafted archive may allow an attacker to write arbitrary files. |
| An integer overflow was addressed with improved input validation. This issue is fixed in Safari 26.6.1, iOS 26.6.1 and iPadOS 26.6.1, macOS Tahoe 26.6.2, tvOS 27, visionOS 27, watchOS 27. Processing maliciously crafted web content may lead to memory corruption. |
| An out-of-bounds write issue was addressed with improved bounds checking. This issue is fixed in Safari 26.6.1, iOS 26.6.1 and iPadOS 26.6.1, macOS Tahoe 26.6.2, tvOS 27, visionOS 27, watchOS 27. Processing maliciously crafted web content may lead to memory corruption. |
| An out-of-bounds read was addressed with improved bounds checking. This issue is fixed in macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7. Processing a maliciously crafted disk image may lead to unexpected app termination. |
| Tor before 0.4.9.11 is prone to a use-after-free (and potential double free) of a conflux object when a recovery leg revives a conflux set whose last linked leg has already been closed. A malicious exit node could use this to crash a client. This is TROVE-2026-026. |
| A permissions issue was addressed with improved validation. This issue is fixed in Xcode 27, macOS Golden Gate 27. An app may be able to access user-sensitive data. |
| alsa-lib through 1.2.16.1 contains a stack buffer overflow in the __snd_ctl_ascii_elem_id_parse() function that writes one byte past a 64-byte buffer when parsing a name= field with 64 or more characters. Attackers can supply a long control-element identifier string through saved state files or command-line arguments to overwrite adjacent stack memory and crash the calling process. |
| On affected platforms running Arista EOS with OpenConfig-related services (i.e., gNMI, gNSI, RESTCONF and NETCONF), sensitive requests and responses may be unintentionally logged. These may be stored on the local EOS device or recorded on remote accounting servers. Note that gRPC-based streaming via Streaming Telemetry Agent to CloudVision is not affected by this vulnerability.
Examples of sensitive information include:
- Sensitive CLI commands (e.g., "username bob secret myPass")
- Sensitive OpenConfig YANG leafs (e.g., "system/aaa/global/tacacs/config/secret-key")
This issue was discovered internally by Arista, and the company is not aware of any malicious exploitation of this vulnerability in customer networks. |
| The MCP Streamable HTTP server transport (WebFlux and WebMvc variants) does not place any limit on the number of sessions it retains, and by default does not require clients to be authenticated. As a result, a remote attacker can cause the server to accumulate an unbounded number of sessions over time, gradually exhausting available memory and ultimately causing a Denial of Service that affects all legitimate clients.
Affected versions:
Spring AI: 2.0.0 |
| In Spring AI's Semantic Cache support, the context hash used to isolate cached responses between different system prompts could allow cached responses to be shared across unrelated contexts.
Affected versions:
Spring AI: 2.0.0 |
| Authentication bypass by capture-replay in Microsoft Authentication Library (MSAL) for Node.js allows an unauthorized attacker to perform spoofing over a network. |
| A vulnerability was identified in PHPGurukul Bank Locker Management System 1.0. This affects an unknown function of the file /blms/view-assign-locker.php. The manipulation of the argument ltid leads to authorization bypass. The attack may be initiated remotely. The exploit is publicly available and might be used. |
| The two built-in name-finder patterns exposed by
opennlp.tools.namefind.RegexNameFinderFactory - DEFAULT_REGEX_NAME_FINDER.EMAIL
and DEFAULT_REGEX_NAME_FINDER.URL - contain ambiguous nested quantifiers. An
application that obtains these finders through
RegexNameFinderFactory.getDefaultRegexNameFinders(...) and then applies them to
untrusted text through RegexNameFinder.find(String[]) or RegexNameFinder.find(String)
can be driven into super-linear backtracking or into unbounded matcher recursion by a
small crafted input.
For the EMAIL pattern, a long run of local-part characters that is never followed by an
@ forces the matcher to re-scan to end-of-input from every starting offset. Cost grows
quadratically with input length: an input of approximately 32 KB consumes several seconds
of CPU in a single find() call and returns no match, and each doubling of the input
multiplies the cost roughly four-fold.
For the URL pattern, the query-string sub-expression nests a capturing repetition inside
an outer repetition. The JDK matcher recurses once per query token, so an input of
approximately 4 KB containing many &-separated tokens exhausts the thread stack and
causes java.lang.StackOverflowError to propagate out of find(), terminating the
calling thread. On a thread created with a smaller stack (for example -Xss512k, typical
of server worker pools) approximately 1 KB is sufficient.
In both cases an attacker who can supply text for analysis can convert a single request
into seconds to minutes of pinned CPU, or into an abrupt thread death, denying service to
the embedding application. No authentication, special configuration, or model file is
required beyond the application having selected one of the two built-in finders.
This issue affects Apache OpenNLP: from 2.0.0 through 2.5.11; from 3.0.0-M1 through
3.0.0-M5.
Users are recommended to upgrade to version 2.5.12, or to 3.0.0-M6 for users tracking the
3.0.0 milestone line, which fix the issue. |
