| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Previously, resolving relative paths containing parent directory ('..') segments performed string conversions and buffer rewrites on each step, resulting in quadratic time complexity and high memory allocation overhead. Now, path resolution operates on a byte buffer using index-based backtracking for '..' segments, eliminating the quadratic time complexity and significantly reducing memory allocations. |
| rsync 3.4.2 before 3.5.0 contains a denial of service vulnerability that allows a remote sender to exhaust system resources by specifying the --zt short alias for --compress-threads, which bypasses the refuse options directive's string matching on long option names. Attackers can specify --zt=N with a large value to spawn an unbounded number of Zstandard worker threads on the receiver, exhausting available thread and memory resources. |
| Enforce a recursion limit in Unmarshal to prevent stack exhaustion when parsing deeply-nested, recursive structures. |
| Improper neutralization of special elements used in a command ('command injection') in Microsoft Office allows an unauthorized attacker to execute code locally. |
| When a server is configured to support unencrypted HTTP/2, it reads a few bytes from each new connection to see if they contain the HTTP/2 client preface. ReadHeaderTimeout is unexpectedly not being applied when doing this. |
| Handshake messages, such as KeyUpdate, are always considered as state-advancing, regardless of whether a handshake has been completed or not. As a result, a malicious client can keep sending KeyUpdate messages to force the server to keep performing key derivation operations indefinitely. |
| Improper neutralization of special elements used in a command ('command injection') in Microsoft Office allows an authorized attacker to elevate privileges locally. |
| rsync before 3.5.0 contains an algorithmic complexity vulnerability in the hash_search() function that allows a remote attacker to cause a denial of service by delivering a carefully constructed file list. A sender can exploit the quadratic-time worst-case behavior in hash lookups to exhaust receiver CPU resources with a modest number of crafted entries, causing a sustained denial of service. |
| GitPython before 3.1.51 fails to guard against dangerous Git options passed as keyword arguments in Repo.archive() and git.ls_remote(), allowing command injection via options such as --exec/--upload-pack (leading to arbitrary command execution). Additionally, Repo.iter_commits() and Repo.blame() do not check for leading-dash revision arguments, so a revision like --output=<path> can cause Git to open and truncate an arbitrary file. Exploitation requires an application that passes attacker-controlled arguments to these methods. |
| pyasn1 is a generic ASN.1 library for Python. Prior to 0.6.2, a Denial-of-Service issue has been found that leads to memory exhaustion from malformed RELATIVE-OID with excessive continuation octets. This vulnerability is fixed in 0.6.2. |
| In the Linux kernel, the following vulnerability has been resolved:
iio: sca3000: Fix a resource leak in sca3000_probe()
spi->irq from request_threaded_irq() not released when
iio_device_register() fails. Add an return value check and jump to a
common error handler when iio_device_register() fails. |
| In the Linux kernel, the following vulnerability has been resolved:
zram: do not forget to endio for partial discard requests
As reported by Qu Wenruo and Avinesh Kumar, the following
getconf PAGESIZE
65536
blkdiscard -p 4k /dev/zram0
takes literally forever to complete. zram doesn't support partial
discards and just returns immediately w/o doing any discard work in such
cases. The problem is that we forget to endio on our way out, so
blkdiscard sleeps forever in submit_bio_wait(). Fix this by jumping to
end_bio label, which does bio_endio(). |
| In the Linux kernel, the following vulnerability has been resolved:
can: ucan: fix devres lifetime
USB drivers bind to USB interfaces and any device managed resources
should have their lifetime tied to the interface rather than parent USB
device. This avoids issues like memory leaks when drivers are unbound
without their devices being physically disconnected (e.g. on probe
deferral or configuration changes).
Fix the control message buffer lifetime so that it is released on driver
unbind. |
| In the Linux kernel, the following vulnerability has been resolved:
net: mctp i3c: clean up notifier and buses if driver register fails
mctp_i3c_mod_init() registers the I3C bus notifier and then walks the
existing buses with i3c_for_each_bus_locked(mctp_i3c_bus_add_new, NULL)
before registering the I3C device driver. If i3c_driver_register()
fails, the function returns the error directly, leaving the notifier
registered and every mctp_i3c_bus object created for the existing buses
allocated. The notifier is left pointing into the module that failed to
load and the bus list is leaked.
Mirror the module exit path on this failure: unregister the notifier and
tear down the buses that were added before returning the error.
This issue was identified during our ongoing static-analysis research while
reviewing kernel code. |
| In the Linux kernel, the following vulnerability has been resolved:
drm/gpusvm: publish dpagemap early to avoid device mapping leak on error
drm_gpusvm_get_pages() only stored the local dpagemap into
svm_pages->dpagemap on the success path. If a later page failed (e.g.
-EOPNOTSUPP when ctx->allow_mixed is false) and jumped to err_unmap,
svm_pages->dpagemap was still NULL, so __drm_gpusvm_unmap_pages() skipped
device_unmap() and leaked the device mappings already created.
Assign svm_pages->dpagemap when the first device page is mapped so the
err_unmap path can device_unmap() those mappings.
This issue was found by Sashiko AI review. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user who is authorized to manage maintenance windows could submit a specially crafted, malformed payload that causes the Kibana process to consume excessive resources. Kibana becomes unresponsive for all users and does not recover without manual intervention. |
| A flaw in Elasticsearch allows an authenticated user holding only read privileges to submit a small search request containing a crafted user-supplied input. Processing that input causes a specific internal component to allocate memory without any upper bound, and the allocation occurs outside the scope of the existing memory accounting controls that were intended to constrain it. The resulting out-of-memory condition is fatal and terminates the affected node process, causing a denial of service. |
| Elasticsearch does not validate a size value taken from a user-supplied input before that value is used to reserve memory for an internal data structure. An authenticated user holding only read privileges can submit a single small crafted request to a product API endpoint that causes the node to attempt an excessively large allocation. The resulting memory exhaustion raises a fatal error that terminates the Elasticsearch node process, causing a denial of service for the affected node and degrading cluster health. The defect is not volumetric, so a single request is sufficient regardless of the heap size configured on the target node. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). A user-supplied list of document fields accepted by the Kibana Playground for RAG feature was neither bounded in length nor de-duplicated before it was used to assemble the response for each matching document. A single crafted request could therefore make Kibana build a response far larger than the data it was derived from, and the resulting processing and memory pressure exhausts the resources of the Kibana instance. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). A specially crafted request submitted by an authenticated user with minimal privileges to a validation capability of the Observability log analysis feature causes Kibana to perform an unbounded amount of concurrent work. This can exhaust the memory available to the Kibana process and make Kibana unavailable to all users until it is restarted. The severity of the outcome depends on the resources allocated to the deployment; on well-provisioned deployments a single request may cause degraded performance and elevated memory pressure rather than a full outage, but the request is inexpensive to repeat. |
