Export limit exceeded: 416316 CVEs match your query. Please refine your search to export 10,000 CVEs or fewer.
Export limit exceeded: 416316 CVEs match your query. Please refine your search to export 10,000 CVEs or fewer.
Search
Search Results (416316 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-114354 | 1 Dji | 1 Crystalsky Zs600c | 2026-10-28 | N/A |
| Missing authorization in the native binder service 'android.dji.server' (transaction code 1018) in DJI CrystalSky ZS600C firmware v0.3.9.7 through v0.6.6.9 on Android allows a local application with no permissions to execute arbitrary OS commands as root, because the handler passes a caller-supplied string to system() in the root-privileged 'assistant' daemon without any caller-identity or permission check. | ||||
| CVE-2026-114353 | 1 Dji | 1 Crystalsky Zs600c | 2026-10-28 | N/A |
| Hidden functionality (undocumented backdoor) in the root-privileged 'assistant' daemon in DJI CrystalSky ZS600C firmware v0.3.9.7 through v0.6.6.9 on Android allows a physically-present attacker with USB access to execute arbitrary OS commands as root by sending the hard-coded magic string 'dji26656677' to the USB-gadget serial interface (/dev/ttyGS0), after which each subsequent line is passed to system(). | ||||
| CVE-2026-114349 | 2026-10-28 | N/A | ||
| When a broker decodes a compressed record batch, the per-record decoder reads a declared body size from the decompressed stream and allocates a buffer of that size before validating it against the bytes available or any configured limit. The size is attacker-controlled, and the batch CRC does not constrain it, so a small (around 90-byte), CRC-valid compressed produce request can declare a body size of up to about 2 GiB and force the broker to attempt that allocation, raising OutOfMemoryError. The record size limit (max.message.bytes), the request size limit, and client/broker quotas bound only the compressed wire size, not the declared decompressed size. Impact: An authenticated principal with Write on a topic can crash broker request-handler threads (reached when a batch's codec differs from the topic's compression.type and records are re-encoded) and any consumer that fetches the record, denying service. On brokers started with -XX:+ExitOnOutOfMemoryError, a common hardening, a single crafted request terminates the broker JVM. More seriously, a crafted record is accepted at ingest and written to disk; when the log-cleaner later reads it on a compacted topic, the OutOfMemoryError (an Error, not an Exception) terminates the cleaner thread, which is not restarted. With the default of a single cleaner thread, log compaction then stops for the entire broker, including the internal __consumer_offsets and __transaction_state topics, and the condition persists across restarts until the offending record is removed. The impact is availability only; no data is disclosed or altered. Mitigation: Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0, and set max.decompressed.message.bytes (at the broker and/or topic level) to a bounded value appropriate for your workload. Upgrading alone is not sufficient: for backward compatibility this configuration defaults to an effectively unlimited value (about 2 GiB), so a broker remains exposed until the limit is set. Choose a value at or slightly above the largest legitimate decompressed record your applications produce, and comfortably below the broker heap divided by the number of request-handler and cleaner threads. Until you can upgrade and configure the limit, restrict Write access to trusted producers; quotas and max.message.bytes do not mitigate this issue. Resolution: From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: the broker validates a record's declared decompressed body size against max.decompressed.message.bytes before allocating, on the produce-validation, log-compaction, and timestamp-lookup paths, and rejects oversized or negative sizes with InvalidRecordException. Operators must set this configuration to a bounded value to be protected, as its default is effectively unlimited. | ||||
| CVE-2026-111551 | 2026-10-28 | N/A | ||
| Several Kafka deserialization paths read a size or count field from input data and use it directly to allocate an array, collection, or byte buffer, with no check against the bytes actually available. A small crafted input can therefore declare a very large size and force a multi-gigabyte allocation. The affected paths are, in Kafka Streams, ProcessorRecordContext (header count), ChangedDeserializer (varint value length), CombinedKeySchema (foreign-key length, which could also produce a negative size), ProcessorMetadata (key length), and AssignmentInfo group-assignment decoding; and, in the clients library, ListDeserializer (used by ListSerde). Impact: An attacker can trigger the oversized allocation and raise an OutOfMemoryError that crashes the affected consumer or Kafka Streams thread; the broker and the rest of the cluster are unaffected. The reachable surface depends on the path: writing a crafted record to a Streams application's internal changelog or repartition topics, or committing crafted offset metadata to its consumer group (Streams internal paths); writing a crafted record to any topic that a consumer reads with ListSerde (ListDeserializer); or, as a member of a Streams consumer group, returning crafted assignment data when elected leader (AssignmentInfo). Because a crafted record remains in its topic, the error can recur on restart. The record size limit (max.message.bytes) does not help, because the allocation is driven by a size field rather than by the input's length. Mitigation: Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0. Where authorization is enabled, restrict write access to each application's internal topics and consumer group to its own principal, and restrict who can produce to topics that are consumed with ListSerde. Resolution: From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: these deserialization paths validate the declared size against the remaining input before allocating and reject input that fails the check. | ||||
| CVE-2026-111496 | 2026-10-28 | N/A | ||
| 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. | ||||
| CVE-2026-111115 | 2026-10-28 | N/A | ||
| 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. | ||||
| CVE-2026-111108 | 2026-10-28 | N/A | ||
| 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). | ||||
| CVE-2026-111073 | 2026-10-28 | N/A | ||
| The broker-side PushTelemetry API (KIP-714) validates only the compressed size of a client's metrics payload against telemetry.max.bytes (default 1 MB) before decompressing it. ClientTelemetryUtils.decompress() then decompresses the payload with no limit on the decompressed output size, growing a heap buffer until the compressed input is exhausted. A small, highly compressible payload (for example gzip-compressed zeros) can therefore expand to hundreds of megabytes of broker heap. Impact: An authenticated client can send a PushTelemetry request with a small compressed payload that decompresses to a very large size, consuming broker heap out of proportion to the request size. Repeated or concurrent requests can exhaust the broker heap and cause an OutOfMemoryError, degrading or crashing the broker; a client that targets multiple brokers can affect cluster availability. PushTelemetry is available to any authenticated client and is not gated by an ACL. Mitigation: Upgrade to Apache Kafka 4.2.2, 4.3.1, or 4.4.0. On affected versions there is no configuration that fully prevents the amplification, because telemetry.max.bytes bounds only the compressed size; lowering telemetry.max.bytes reduces the worst-case decompressed size proportionally and is a partial mitigation. Resolution: - From Apache Kafka 4.2.2, 4.3.1, and 4.4.0: ClientTelemetryUtils.decompress() enforces a maximum decompressed size equal to telemetry.max.bytes (default 1 MB). Decompression reads in bounded chunks and aborts with a TelemetryTooLargeException once the decompressed total exceeds the limit, so an over-large or highly compressible payload is rejected instead of being fully expanded in heap. The decompressed size is therefore bounded by default. | ||||
| CVE-2026-118658 | 2026-10-28 | 4.7 Medium | ||
| Echo is a Go web framework. Prior to 4.15.2 and 5.1.1, Context.Scheme returns values from X-Forwarded-Proto, X-Forwarded-Protocol, or X-Url-Scheme without validating that they are supported web schemes. WWWRedirect and NonWWWRedirect use that value to construct a Location header, so an attacker controlling a forwarded scheme header can cause a redirect to use an arbitrary URI scheme. Exploitation requires an affected redirect middleware and user interaction with the response; the HTTPS-specific redirect variants hardcode HTTPS and are unaffected. This issue is fixed in 4.15.2 and 5.1.1. | ||||
| CVE-2026-87372 | 2 Oracle, Oracle Corporation | 2 Webcenter Content, Oracle Webcenter Content | 2026-10-28 | 6.5 Medium |
| Vulnerability in the Oracle WebCenter Content product of Oracle Fusion Middleware (component: Content Server). Supported versions that are affected are 12.2.1.4.0 and 14.1.2.0.0. Easily exploitable vulnerability allows low privileged attacker with logon to the infrastructure where Oracle WebCenter Content executes to compromise Oracle WebCenter Content. While the vulnerability is in Oracle WebCenter Content, 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 WebCenter Content accessible data. CVSS 3.1 Base Score 6.5 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N). | ||||
| CVE-2026-103332 | 2026-10-28 | 5.3 Medium | ||
| The Payex Payment Gateway for Woocommerce WordPress plugin through 1.2.10 does not properly verify the authenticity of incoming payment notifications, relying on a validation secret that is empty by default, allowing unauthenticated attackers to forge a valid payment confirmation and mark any order as paid. | ||||
| CVE-2026-103312 | 2026-10-28 | 5.3 Medium | ||
| The Payment Integration Wompi WordPress plugin through 4.0.1 does not verify the authenticity of incoming payment notifications on a stock install, because the callback's checksum is keyed on a merchant secret that is empty until it is manually configured, allowing an unauthenticated attacker to forge a notification and mark an arbitrary order as paid. | ||||
| CVE-2026-103359 | 2026-10-28 | 5.3 Medium | ||
| The PayDunya WooCommerce Payment Gateway WordPress plugin through 1.1.6 does not verify the authenticity of incoming payment notifications and, until the gateway is configured, authenticates them with a value derived from an empty secret that anyone can compute, allowing unauthenticated attackers to mark arbitrary WooCommerce orders as paid and completed. | ||||
| CVE-2026-103325 | 2026-10-28 | 3.7 Low | ||
| The TiendaCrypto para WooCommerce WordPress plugin through 1.2.1 does not correctly verify the authenticity of its payment webhook, validating the request signature against a key that is always empty, which allows unauthenticated attackers to forge webhook notifications and mark arbitrary WooCommerce orders as paid on web servers that preserve request header case. | ||||
| CVE-2026-118321 | 1 Google | 1 Chrome | 2026-10-28 | 9.6 Critical |
| Improper input validation in Core in Google Chrome on on Android prior to 156.0.8078.73 allowed a remote attacker to potentially execute arbitrary code outside the sandbox via a crafted HTML page. (Chromium security severity: High) | ||||
| CVE-2026-103382 | 2026-10-28 | 5.3 Medium | ||
| The Casso Flow WordPress plugin before 4.2.0 does not properly authenticate incoming bank-transfer payment notifications, as the token used to verify them is empty on a default installation, allowing unauthenticated attackers to forge a notification and mark any pending WooCommerce order as paid, regardless of its payment method. | ||||
| CVE-2026-110509 | 2026-10-28 | 5.3 Medium | ||
| The Essential Addons for Elementor WordPress plugin before 6.8.7 does not restrict the post type or meta query an unauthenticated visitor can pass to its pagination endpoint, which could allow them to read content of non-public post types and recover the values of private custom fields on published posts. | ||||
| CVE-2026-110691 | 2026-10-28 | 6.5 Medium | ||
| The WPOrLogin WordPress plugin before 3.1.0 does not perform a capability check or validate a nonce before updating its hidden-login URL settings, which could allow unauthenticated attackers to reassign the login, registration and password-recovery slugs and lock the administrator out of the login interface. | ||||
| CVE-2026-111577 | 2026-10-28 | 7.2 High | ||
| The GoSMTP WordPress plugin before 1.2.5 does not perform a settings-management authorization check on its SMTP configuration page, which is gated only on the GoSMTP WordPress plugin before 1.2.5-activation capability, allowing users with a delegated role below administrator to change outbound mail delivery and achieve administrator account takeover. | ||||
| CVE-2026-117625 | 2 Jenkins, Jenkins Project | 2 Jenkins, Jenkins | 2026-10-28 | N/A |
| A missing permission check in Jenkins 2.587 and earlier, LTS 2.580.1 and earlier allows attackers with Overall/Read permission to obtain the server, port, user name, and no-proxy host list of the configured HTTP proxy. | ||||