| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.0, attacker-controlled input included into multipart/payload headers can be used to modify a request to inject additional headers or similar. In the unlikely situation that an application is passing user-controlled strings into MultipartWriter.append(headers=...) or Payload.headers, then an attacker may be able to modify the request to inject headers or change the contents of the request. This vulnerability is fixed in 3.14.0. |
| Inappropriate implementation in Passwords in Google Chrome on Android prior to 149.0.7827.115 allowed a remote attacker who had compromised the renderer process to bypass site isolation via a crafted HTML page. (Chromium security severity: High) |
| Improper escaping of database table names in the CaptureChangeMySQL Processor included with Apache NiFi 1.2.0 through 2.9.0 allows for injecting SQL commands using crafted naming. Manual quoted boundaries added in Apache NiFi 1.8.0 narrowed the scope of potential injection options, but did not cover additional strategies. Apache NiFi installations that do not use the CaptureChangeMySQL Processor are not subject to this vulnerability. Upgrading to Apache NiFi 2.10.0 is the recommended mitigation, which incorporates more robust identifier escaping. |
| Some shadow paging errors paths will switch the page-tables without
updating the currently running vCPU reference. This causes a mismatch
between the loaded page-tables and the mapcache metadata which can lead
to corruption of the mapcache. |
| When returning errors, functions in the net/textproto package would include its input as part of the error. This might allow an attacker to inject misleading content to errors that are printed or logged. |
| In Splunk AI Toolkit versions below 5.7.4, a low-privileged user that does not hold the "admin" or "power" Splunk roles could cause the Splunk AI Toolkit to make outbound requests over HTTP to a server that an attacker controls, which could allow for data exfiltration.
The vulnerability exists because of an insecure default domain allowlist in the Splunk AI Toolkit, which does not restrict outbound AI agent requests to approved external domains. |
| In the Linux kernel, the following vulnerability has been resolved:
tls: make sure to abort the stream if headers are bogus
Normally we wait for the socket to buffer up the whole record
before we service it. If the socket has a tiny buffer, however,
we read out the data sooner, to prevent connection stalls.
Make sure that we abort the connection when we find out late
that the record is actually invalid. Retrying the parsing is
fine in itself but since we copy some more data each time
before we parse we can overflow the allocated skb space.
Constructing a scenario in which we're under pressure without
enough data in the socket to parse the length upfront is quite
hard. syzbot figured out a way to do this by serving us the header
in small OOB sends, and then filling in the recvbuf with a large
normal send.
Make sure that tls_rx_msg_size() aborts strp, if we reach
an invalid record there's really no way to recover. |
| Incorrect boundary conditions in the Web Audio component. This vulnerability was fixed in Firefox 152, Firefox ESR 140.12, Thunderbird 152, and Thunderbird 140.12. |
| Sandbox escape due to incorrect boundary conditions in the Networking component. This vulnerability was fixed in Firefox 152, Firefox ESR 140.12, Firefox ESR 115.37, Thunderbird 152, and Thunderbird 140.12. |
| Memory safety bugs present in Firefox 151 and Thunderbird 151. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. This vulnerability was fixed in Firefox 152 and Thunderbird 152. |
| Memory safety bugs present in Firefox ESR 140.11, Thunderbird ESR 140.11, Firefox 151 and Thunderbird 151. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. This vulnerability was fixed in Firefox 152, Firefox ESR 140.12, Thunderbird 152, and Thunderbird 140.12. |
| The issue was addressed with improved memory handling. This issue is fixed in AirPlay audio SDK 2.7.1 and AirPlay video SDK 3.6.0.126. An attacker on the local network may cause an unexpected app termination. |
| The issue was addressed with improved bounds checks. This issue is fixed in iOS 18.7.3 and iPadOS 18.7.3, iOS 26.2 and iPadOS 26.2, macOS Sequoia 15.7.3, macOS Sonoma 14.8.3, macOS Tahoe 26.2, tvOS 26.2, visionOS 26.2, watchOS 26.2. Processing a file may lead to memory corruption. |
| In OpenStack Nova before 33.0.2, the server create API does not strip certain hint data. The resulting instance has no Placement allocation. |
| Incorrect boundary conditions in the Libraries component in NSS. This vulnerability was fixed in Firefox 152 and Thunderbird 152. |
| Memory safety bug fixed in Thunderbird ESR 140.12. This vulnerability was fixed in Firefox ESR 140.12 and Thunderbird 140.12. |
| Incorrect boundary conditions in the Internationalization component. This vulnerability was fixed in Firefox ESR 140.12, Firefox ESR 115.37, and Thunderbird 140.12. |
| In Modem, there is a possible out of bounds write due to a missing bounds check. This could lead to remote code execution with no additional execution privileges needed. User interaction is not needed for exploitation. |
| In OSMMapPMRGeneric of pmr_os.c, there is a possible way to leverage a system call to system call to maliciously expand the VMA out of bounds due to a logic error in the code. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. |
| A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency (tRNS) data, during image processing. When images are converted to RGB, transparency information may be implicitly discarded or remapped, leading to unexpected rendering of transparent pixels and distortion of input content. This can result in the model misinterpreting image content, potentially affecting the integrity of processed data. |
