| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A Kafka broker using SASL/OAUTHBEARER with the default validator (sasl.oauthbearer.jwt.validator.class=DefaultJwtValidator) selects its implementation from configuration. When sasl.oauthbearer.jwks.endpoint.url is set, the validator verifies the JWT signature. When that URL is unset (the default) and no verification key resolver is supplied, DefaultJwtValidator silently falls back to ClientJwtValidator, which does not verify the JWT signature, algorithm, or issuer - and the broker starts with no warning or error. This is the residual of CVE-2026-33557, whose fix restored signature verification only on the path where the JWKS endpoint URL is set.
Impact:
A broker in this state accepts any structurally valid JWT, including "alg":"none" tokens. An unauthenticated remote attacker who can reach the listener can forge a token asserting any principal - including configured superusers - and gain full access to the cluster. Only brokers that enable SASL/OAUTHBEARER validation without a JWKS endpoint URL (and without a custom verification key resolver) are affected; brokers that set the URL verify signatures and are not affected. Unlike CVE-2026-110952 (issuer/audience not enforced by default), here no signature is verified at all.
Mitigation (all affected versions, no upgrade required):
Set sasl.oauthbearer.jwks.endpoint.url for every listener/mechanism that uses OAuthBearerValidatorCallbackHandler, or configure a signature-verifying sasl.oauthbearer.jwt.validator.class.
Resolution:
From Apache Kafka 4.2.2, 4.3.1, and 4.4.0: a broker that would fall back to the non-verifying ClientJwtValidator fails to start with a ConfigException instead of running without signature verification (secure by default). |
| Apache Kafka's code-generated protocol readers pre-size an array's collection from the element count declared by the sender. That count is checked only against the bytes remaining in the request buffer, which assumes about one byte per element; because most elements need several bytes, a request can declare far more elements than the buffer holds and still pass. For a keyed array the reader then allocates an ImplicitLinkedHashCollection of capacity (2 * count +1), so a request of a few tens of megabytes can force a heap allocation several times larger before any element is read. The pattern is emitted into every generated reader, so it affects all Kafka API types with an array field.
Impact:
Request parsing happens before any authorization check. On a listener that does not require authentication (for example PLAINTEXT), an unauthenticated attacker can send a few concurrent requests that each declare a very large=
array length and allocate many times their wire size in broker heap, crashing the broker with an OutOfMemoryError. The reporter demonstrated three concurrent ~90 MB ProduceRequest (v3) connections exhausting a 1 GB heap (~8x amplification). On listeners that require authentication, the attacker needs valid credentials but no specific ACL, since parsing precedes authorization..
Mitigation:
Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0. Until then, lowering socket.request.max.bytes and restricting network access to broker listeners reduces, but does not remove, exposure.
Resolution:
From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: generated readers cap the initial array pre-allocation at MessageUtil.MAX_PREALLOCATED_ARRAY_CAPACITY (1000) and grow it on demand, and reject a declared array length above MessageUtil.MAX_ARRAY_LENGTH (1,000,000). |
| Apache Kafka's code-generated readers for flexible protocol versions read a tagged-field count declared by the sender and retain a RawTaggedField object for each unknown field. That count was bounded only by the outer request frame size (socket.request.max.bytes); it was not checked against the remaining buffer bytes or capped. Because each entry can be encoded in as little as two bytes (unknown tag 0, size 0), a modest request can declare tens of millions of tagged fields and force one object allocation per declared field. Flexible request headers (header version 2, used by flexible APIs such as ApiVersions v3) are parsed this way, so the amplification applies to the request header itself.
Impact:
The flexible request header is parsed on the network thread before authorization, request dispatch, and request-time quota accounting. A client can send a request of a few tens of megabytes whose header declares about 20 million tagged fields, forcing roughly that many RawTaggedField allocations and exhausting broker heap or inducing process-wide GC stalls, denying broker service. Because the header is parsed for pre-authentication APIs such as ApiVersions (v3), the allocation can occur before authentication; no Kafka resource ACL or quota is required.
Mitigation:
Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0. Until then, lowering socket.request.max.bytes and restricting network access to broker listeners reduces, but does not remove, exposure.
Resolution:
From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: generated readers bounds-check the tagged-field count for flexible-versioned messages, rejecting a negative count, a count exceeding the remaining buffer bytes, or a count exceeding a fixed maximum (10,000), before any per-field allocation. |
| Kafka Streams derives its stream-time clock from record timestamps. PunctuationSchedule.next() computed the next punctuation time as timestamp + (intervalsMissed + 1) * interval with no overflow check. A record with a timestamp at or near Long.MAX_VALUE advances stream time to that value, so the next stream-time punctuation overflows to a negative time. PunctuationQueue then re-queues that time and loops on it indefinitely while holding a lock, stalling the StreamThread.
Impact:
A single record is enough. The affected StreamThread stops processing, and because the record stays in the topic the hang returns on restart; an application whose partitions are all affected becomes unresponsive. Only the Streams application is affected, not the brokers or the cluster. Triggering it needs write access to a source topic whose topology uses stream-time punctuation, and a broker that stores the record: brokers from Apache Kafka 4.0.0 reject such a timestamp by default (log.message.timestamp.after.max.ms, one hour), so it is reachable only on older brokers or where that bound has been relaxed.
Mitigation:
Upgrade Kafka Streams to 4.2.2, 4.3.2, or 4.4.0. As defense in depth, keep log.message.timestamp.after.max.ms bounded on source topics and restrict write access to them.
Resolution:
From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: the next punctuation time is computed with overflow-checked arithmetic (clamped to Long.MAX_VALUE), and a rescheduled punctuation is re-queued only when its time moves forward. |
| An Open Redirect vulnerability has been identified in OpenText™ Universal Discovery and CMDB. The vulnerability can be exploited only if an attacker sends a specially crafted URL containing a link to a malicious resource and a user subsequently follows that link.
Affected systems:
This issue affects only the classic deployment options for UCMDB UI (ucmdb-browser) component within Universal Discovery and CMDB and Operations Bridge Manager. Containerized deployment options are not affected. |
| pypdf is a free and open-source pure-python PDF library. Prior to 6.20.1, removing an object from a crafted cyclic PDF tree, such as an outline item, can enter an infinite loop and block the current process. This issue is fixed in version 6.20.1. |
| A flaw was found in GnuTLS. The `gnutls_pkcs11_token_set_pin` function, used for changing the Security Officer PIN, can lead to a use-after-free vulnerability. This occurs when an attacker attempts to change the PIN with a NULL old PIN for a token that lacks a protected authentication path. |
| A flaw was found in gnutls. An off-by-one error exists in the PKCS#12 bag element bounds check. This vulnerability allows an remote attacker to write past the internal array of a PKCS#12 bag when appending to a bag that already contains 32 elements. This memory corruption could lead to a denial of service (DoS) or potentially other unspecified impacts. |
| A flaw was found in GIMP. This vulnerability, a buffer overflow in the `file-seattle-filmworks` plugin, can be exploited when a user opens a specially crafted Seattle Filmworks file. A remote attacker could leverage this to cause a denial of service (DoS), leading to the plugin crashing and potentially impacting the stability of the GIMP application. |
| A flaw was found in GIMP. Processing a specially crafted PVR image file with large dimensions can lead to a denial of service (DoS). This occurs due to a stack-based buffer overflow and an out-of-bounds read in the PVR image loader, causing the application to crash. Systems that process untrusted PVR image files are affected. |
| A flaw was found in GIMP. This vulnerability, a heap buffer over-read in the `icns_slurp()` function, occurs when processing specially crafted ICNS image files. An attacker could provide a malicious ICNS file, potentially leading to application crashes or information disclosure on systems that process such files. |
| A flaw was found in GIMP. A stack buffer overflow vulnerability in the TIM image loader's 4BPP decoding path allows a local user to cause a Denial of Service (DoS). By opening a specially crafted TIM image file, the application crashes due to an unconditional overflow when writing to a variable-length array. |
| A flaw was found in GIMP. A remote attacker could exploit an integer overflow vulnerability in the FITS image loader by providing a specially crafted FITS file. This integer overflow leads to a zero-byte memory allocation, which is then subjected to a heap buffer overflow when processing pixel data. Successful exploitation could result in a denial of service (DoS) or potentially arbitrary code execution. |
| In Splunk SOAR versions below 8.7.0, a user that holds a role with the install_apps capability could store attacker-controlled content that Splunk SOAR displays in app documentation by installing an app. If another user who holds a role with permission to view apps opens the app documentation, Splunk SOAR could run that content in the browser of the user who opened the app documentation. With this access, the first user could access data and make changes that the user who opened the app documentation could make.
The vulnerability is possible because Splunk SOAR does not sanitize app documentation content before it displays that content.
The vulnerability requires the attacker to phish the affected user by tricking them into initiating a request within their browser. The user that holds a role with the install_apps capability should not be able to exploit the vulnerability at will.
For more information see Manage roles and permissions in Splunk SOAR (On-premises) (https://help.splunk.com/en/splunk-soar/soar-on-premises/administer-soar-on-premises/7.1.0/manage-your-splunk-soar-on-premises-users-and-accounts/manage-roles-and-permissions-in-splunk-soar-on-premises) and Add and configure apps and assets to provide actions in Splunk SOAR (On-premises) (https://help.splunk.com/en/splunk-soar/soar-on-premises/administer-soar-on-premises/8.6.0/manage-your-splunk-soar-on-premises-apps-and-assets/add-and-configure-apps-and-assets-to-provide-actions-in-splunk-soar-on-premises) in the Splunk documentation. |
| A flaw was found in gnutls. This vulnerability occurs because gnutls performs case-sensitive comparisons of `nameConstraints` labels, specifically for `dNSName` (DNS) or `rfc822Name` (email) constraints within `excludedSubtrees` or `permittedSubtrees`. A remote attacker can exploit this by crafting a leaf certificate with casing differences in the Subject Alternative Name (SAN), leading to a policy bypass where a certificate that should be rejected is instead accepted. This could result in unauthorized access or information disclosure. |
| Multiple out-of-bounds read vulnerabilities were found in GStreamer's pcapparse element. Malformed PCAP records can trigger reads beyond buffer boundaries during IPv4/TCP header parsing. This element is primarily used in debugging pipelines, limiting real-world exposure. A local attacker could trick a user into processing a specially crafted PCAP file, potentially leading to a crash or information disclosure. |
| A denial of service vulnerability was found in GStreamer's AV1 codec parser in gst-plugins-bad. The gst_av1_parser_parse_tile_list_obu() function passes a byte count to a bit-reader API that expects a bit count, causing parser desynchronization. A remote attacker could trick a user into opening a specially crafted AV1 media file, triggering an assertion abort and causing the application to crash. |
| A use-after-free flaw was found in the X.Org X server and Xwayland in CreateSaverWindow(). A client can trigger a use-after-free read after changing window attributes and forcing the screen saver, leading to information disclosure. |
| An out-of-bounds read flaw was found in the X.Org X server and Xwayland in __glXDisp_ChangeDrawableAttributes(). A wrong size validation check can read a client-controlled number of bytes, exceeding the request buffer, leading to information disclosure. A write path also exists but requires byte-swapped clients which is disabled by default. |
| SuiteCRM is an open-source, enterprise-ready Customer Relationship Management (CRM) software application. Prior to 7.15.2 and 8.10.2, the legacy SOAP portal method portal_get_entry_list propagates caller-controlled where and order_by values into SQL query construction without sufficient neutralization. A low-privileged portal API user can perform blind SQL injection to disclose database metadata and sensitive records, affect query behavior, and consume resources. This issue is fixed in versions 7.15.2 and 8.10.2. |
