Filtered by vendor Redhat
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Filtered by product Service Interconnect
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Total
45 CVE
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2024-33601 | 2 Gnu, Redhat | 8 Glibc, Enterprise Linux, Rhel Aus and 5 more | 2025-02-21 | 4.0 Medium |
| nscd: netgroup cache may terminate daemon on memory allocation failure The Name Service Cache Daemon's (nscd) netgroup cache uses xmalloc or xrealloc and these functions may terminate the process due to a memory allocation failure resulting in a denial of service to the clients. The flaw was introduced in glibc 2.15 when the cache was added to nscd. This vulnerability is only present in the nscd binary. | ||||
| CVE-2024-9355 | 1 Redhat | 21 Amq Streams, Ansible Automation Platform, Container Native Virtualization and 18 more | 2025-02-14 | 6.5 Medium |
| A vulnerability was found in Golang FIPS OpenSSL. This flaw allows a malicious user to randomly cause an uninitialized buffer length variable with a zeroed buffer to be returned in FIPS mode. It may also be possible to force a false positive match between non-equal hashes when comparing a trusted computed hmac sum to an untrusted input sum if an attacker can send a zeroed buffer in place of a pre-computed sum. It is also possible to force a derived key to be all zeros instead of an unpredictable value. This may have follow-on implications for the Go TLS stack. | ||||
| CVE-2024-12582 | 1 Redhat | 1 Service Interconnect | 2025-02-13 | 7.1 High |
| A flaw was found in the skupper console, a read-only interface that renders cluster network, traffic details, and metrics for a network application that a user sets up across a hybrid multi-cloud environment. When the default authentication method is used, a random password is generated for the "admin" user and is persisted in either a Kubernetes secret or a podman volume in a plaintext file. This authentication method can be manipulated by an attacker, leading to the reading of any user-readable file in the container filesystem, directly impacting data confidentiality. Additionally, the attacker may induce skupper to read extremely large files into memory, resulting in resource exhaustion and a denial of service attack. | ||||
| CVE-2024-33602 | 2 Gnu, Redhat | 8 Glibc, Enterprise Linux, Rhel Aus and 5 more | 2025-02-13 | 7.4 High |
| nscd: netgroup cache assumes NSS callback uses in-buffer strings The Name Service Cache Daemon's (nscd) netgroup cache can corrupt memory when the NSS callback does not store all strings in the provided buffer. The flaw was introduced in glibc 2.15 when the cache was added to nscd. This vulnerability is only present in the nscd binary. | ||||
| CVE-2024-33600 | 1 Redhat | 7 Enterprise Linux, Rhel Aus, Rhel E4s and 4 more | 2025-02-13 | 5.3 Medium |
| nscd: Null pointer crashes after notfound response If the Name Service Cache Daemon's (nscd) cache fails to add a not-found netgroup response to the cache, the client request can result in a null pointer dereference. This flaw was introduced in glibc 2.15 when the cache was added to nscd. This vulnerability is only present in the nscd binary. | ||||
| CVE-2024-33599 | 1 Redhat | 7 Enterprise Linux, Rhel Aus, Rhel E4s and 4 more | 2025-02-13 | 7.6 High |
| nscd: Stack-based buffer overflow in netgroup cache If the Name Service Cache Daemon's (nscd) fixed size cache is exhausted by client requests then a subsequent client request for netgroup data may result in a stack-based buffer overflow. This flaw was introduced in glibc 2.15 when the cache was added to nscd. This vulnerability is only present in the nscd binary. | ||||
| CVE-2024-2961 | 2 Gnu, Redhat | 9 Glibc, Enterprise Linux, Openshift and 6 more | 2025-02-13 | 7.3 High |
| The iconv() function in the GNU C Library versions 2.39 and older may overflow the output buffer passed to it by up to 4 bytes when converting strings to the ISO-2022-CN-EXT character set, which may be used to crash an application or overwrite a neighbouring variable. | ||||
| CVE-2024-24783 | 1 Redhat | 22 Advanced Cluster Security, Ansible Automation Platform, Cert Manager and 19 more | 2025-02-13 | 5.9 Medium |
| Verifying a certificate chain which contains a certificate with an unknown public key algorithm will cause Certificate.Verify to panic. This affects all crypto/tls clients, and servers that set Config.ClientAuth to VerifyClientCertIfGiven or RequireAndVerifyClientCert. The default behavior is for TLS servers to not verify client certificates. | ||||
| CVE-2024-2398 | 2 Curl, Redhat | 5 Curl, Enterprise Linux, Jboss Core Services and 2 more | 2025-02-13 | 8.6 High |
| When an application tells libcurl it wants to allow HTTP/2 server push, and the amount of received headers for the push surpasses the maximum allowed limit (1000), libcurl aborts the server push. When aborting, libcurl inadvertently does not free all the previously allocated headers and instead leaks the memory. Further, this error condition fails silently and is therefore not easily detected by an application. | ||||
| CVE-2023-45288 | 3 Go Standard Library, Golang, Redhat | 30 Net\/http, Http2, Acm and 27 more | 2025-02-13 | 7.5 High |
| An attacker may cause an HTTP/2 endpoint to read arbitrary amounts of header data by sending an excessive number of CONTINUATION frames. Maintaining HPACK state requires parsing and processing all HEADERS and CONTINUATION frames on a connection. When a request's headers exceed MaxHeaderBytes, no memory is allocated to store the excess headers, but they are still parsed. This permits an attacker to cause an HTTP/2 endpoint to read arbitrary amounts of header data, all associated with a request which is going to be rejected. These headers can include Huffman-encoded data which is significantly more expensive for the receiver to decode than for an attacker to send. The fix sets a limit on the amount of excess header frames we will process before closing a connection. | ||||
| CVE-2023-45287 | 2 Golang, Redhat | 11 Go, Enterprise Linux, Migration Toolkit Applications and 8 more | 2025-02-13 | 7.5 High |
| Before Go 1.20, the RSA based TLS key exchanges used the math/big library, which is not constant time. RSA blinding was applied to prevent timing attacks, but analysis shows this may not have been fully effective. In particular it appears as if the removal of PKCS#1 padding may leak timing information, which in turn could be used to recover session key bits. In Go 1.20, the crypto/tls library switched to a fully constant time RSA implementation, which we do not believe exhibits any timing side channels. | ||||
| CVE-2023-39326 | 2 Golang, Redhat | 20 Go, Ansible Automation Platform, Cryostat and 17 more | 2025-02-13 | 5.3 Medium |
| A malicious HTTP sender can use chunk extensions to cause a receiver reading from a request or response body to read many more bytes from the network than are in the body. A malicious HTTP client can further exploit this to cause a server to automatically read a large amount of data (up to about 1GiB) when a handler fails to read the entire body of a request. Chunk extensions are a little-used HTTP feature which permit including additional metadata in a request or response body sent using the chunked encoding. The net/http chunked encoding reader discards this metadata. A sender can exploit this by inserting a large metadata segment with each byte transferred. The chunk reader now produces an error if the ratio of real body to encoded bytes grows too small. | ||||
| CVE-2023-39325 | 4 Fedoraproject, Golang, Netapp and 1 more | 53 Fedora, Go, Http2 and 50 more | 2025-02-13 | 7.5 High |
| A malicious HTTP/2 client which rapidly creates requests and immediately resets them can cause excessive server resource consumption. While the total number of requests is bounded by the http2.Server.MaxConcurrentStreams setting, resetting an in-progress request allows the attacker to create a new request while the existing one is still executing. With the fix applied, HTTP/2 servers now bound the number of simultaneously executing handler goroutines to the stream concurrency limit (MaxConcurrentStreams). New requests arriving when at the limit (which can only happen after the client has reset an existing, in-flight request) will be queued until a handler exits. If the request queue grows too large, the server will terminate the connection. This issue is also fixed in golang.org/x/net/http2 for users manually configuring HTTP/2. The default stream concurrency limit is 250 streams (requests) per HTTP/2 connection. This value may be adjusted using the golang.org/x/net/http2 package; see the Server.MaxConcurrentStreams setting and the ConfigureServer function. | ||||
| CVE-2023-39322 | 3 Go Standard Library, Golang, Redhat | 18 Crypto Tls, Go, Acm and 15 more | 2025-02-13 | 7.5 High |
| QUIC connections do not set an upper bound on the amount of data buffered when reading post-handshake messages, allowing a malicious QUIC connection to cause unbounded memory growth. With fix, connections now consistently reject messages larger than 65KiB in size. | ||||
| CVE-2023-39321 | 2 Golang, Redhat | 17 Go, Acm, Ansible Automation Platform and 14 more | 2025-02-13 | 7.5 High |
| Processing an incomplete post-handshake message for a QUIC connection can cause a panic. | ||||
| CVE-2023-39319 | 2 Golang, Redhat | 15 Go, Acm, Enterprise Linux and 12 more | 2025-02-13 | 6.1 Medium |
| The html/template package does not apply the proper rules for handling occurrences of "<script", "<!--", and "</script" within JS literals in <script> contexts. This may cause the template parser to improperly consider script contexts to be terminated early, causing actions to be improperly escaped. This could be leveraged to perform an XSS attack. | ||||
| CVE-2023-39318 | 2 Golang, Redhat | 15 Go, Acm, Enterprise Linux and 12 more | 2025-02-13 | 6.1 Medium |
| The html/template package does not properly handle HTML-like "" comment tokens, nor hashbang "#!" comment tokens, in <script> contexts. This may cause the template parser to improperly interpret the contents of <script> contexts, causing actions to be improperly escaped. This may be leveraged to perform an XSS attack. | ||||
| CVE-2023-24538 | 2 Golang, Redhat | 21 Go, Advanced Cluster Security, Ansible Automation Platform and 18 more | 2025-02-13 | 9.8 Critical |
| Templates do not properly consider backticks (`) as Javascript string delimiters, and do not escape them as expected. Backticks are used, since ES6, for JS template literals. If a template contains a Go template action within a Javascript template literal, the contents of the action can be used to terminate the literal, injecting arbitrary Javascript code into the Go template. As ES6 template literals are rather complex, and themselves can do string interpolation, the decision was made to simply disallow Go template actions from being used inside of them (e.g. "var a = {{.}}"), since there is no obviously safe way to allow this behavior. This takes the same approach as github.com/google/safehtml. With fix, Template.Parse returns an Error when it encounters templates like this, with an ErrorCode of value 12. This ErrorCode is currently unexported, but will be exported in the release of Go 1.21. Users who rely on the previous behavior can re-enable it using the GODEBUG flag jstmpllitinterp=1, with the caveat that backticks will now be escaped. This should be used with caution. | ||||
| CVE-2023-24537 | 2 Golang, Redhat | 21 Go, Advanced Cluster Security, Ansible Automation Platform and 18 more | 2025-02-13 | 7.5 High |
| Calling any of the Parse functions on Go source code which contains //line directives with very large line numbers can cause an infinite loop due to integer overflow. | ||||
| CVE-2023-24536 | 2 Golang, Redhat | 19 Go, Advanced Cluster Security, Ansible Automation Platform and 16 more | 2025-02-13 | 7.5 High |
| Multipart form parsing can consume large amounts of CPU and memory when processing form inputs containing very large numbers of parts. This stems from several causes: 1. mime/multipart.Reader.ReadForm limits the total memory a parsed multipart form can consume. ReadForm can undercount the amount of memory consumed, leading it to accept larger inputs than intended. 2. Limiting total memory does not account for increased pressure on the garbage collector from large numbers of small allocations in forms with many parts. 3. ReadForm can allocate a large number of short-lived buffers, further increasing pressure on the garbage collector. The combination of these factors can permit an attacker to cause an program that parses multipart forms to consume large amounts of CPU and memory, potentially resulting in a denial of service. This affects programs that use mime/multipart.Reader.ReadForm, as well as form parsing in the net/http package with the Request methods FormFile, FormValue, ParseMultipartForm, and PostFormValue. With fix, ReadForm now does a better job of estimating the memory consumption of parsed forms, and performs many fewer short-lived allocations. In addition, the fixed mime/multipart.Reader imposes the following limits on the size of parsed forms: 1. Forms parsed with ReadForm may contain no more than 1000 parts. This limit may be adjusted with the environment variable GODEBUG=multipartmaxparts=. 2. Form parts parsed with NextPart and NextRawPart may contain no more than 10,000 header fields. In addition, forms parsed with ReadForm may contain no more than 10,000 header fields across all parts. This limit may be adjusted with the environment variable GODEBUG=multipartmaxheaders=. | ||||