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Search Results (5 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-31959 | 1 Anchore | 1 Quill | 2026-03-20 | 5.3 Medium |
| Quill provides simple mac binary signing and notarization from any platform. Quill before version v0.7.1 contains a Server-Side Request Forgery (SSRF) vulnerability when attempting to fetch the Apple notarization submission logs. Exploitation requires the ability to modify API responses from Apple's notarization service, which is not possible under standard network conditions due to HTTPS with proper TLS certificate validation; however, environments with TLS-intercepting proxies (common in corporate networks), compromised certificate authorities, or other trust boundary violations are at risk. When retrieving submission logs, Quill fetches a URL provided in the API response without validating that the scheme is https or that the host does not point to a local or multicast IP address. An attacker who can tamper with the response can supply an arbitrary URL, causing the Quill client to issue HTTP or HTTPS requests to attacker-controlled or internal network destinations. This could lead to exfiltration of sensitive data such as cloud provider credentials or internal service responses. Both the Quill CLI and library are affected when used to retrieve notarization submission logs. This vulnerability is fixed in 0.7.1. | ||||
| CVE-2026-31960 | 1 Anchore | 1 Quill | 2026-03-20 | 5.3 Medium |
| Quill provides simple mac binary signing and notarization from any platform. Quill before version v0.7.1 has unbounded reads of HTTP response bodies during the Apple notarization process. Exploitation requires the ability to modify API responses from Apple's notarization service, which is not possible under standard network conditions due to HTTPS with proper TLS certificate validation; however, environments with TLS-intercepting proxies (common in corporate networks), compromised certificate authorities, or other trust boundary violations are at risk. When processing HTTP responses during notarization, Quill reads the entire response body into memory without any size limit. An attacker who can control or modify the response content can return an arbitrarily large payload, causing the Quill client to run out of memory and crash. The impact is limited to availability; there is no effect on confidentiality or integrity. Both the Quill CLI and library are affected when used to perform notarization operations. This vulnerability is fixed in 0.7.1. | ||||
| CVE-2026-31961 | 1 Anchore | 1 Quill | 2026-03-20 | 5.5 Medium |
| Quill provides simple mac binary signing and notarization from any platform. Quill before version v0.7.1 contains an unbounded memory allocation vulnerability when parsing Mach-O binaries. Exploitation requires that Quill processes an attacker-supplied Mach-O binary, which is most likely in environments such as CI/CD pipelines, shared signing services, or any workflow where externally-submitted binaries are accepted for signing. When parsing a Mach-O binary, Quill reads several size and count fields from the LC_CODE_SIGNATURE load command and embedded code signing structures (SuperBlob, BlobIndex) and uses them to allocate memory buffers without validating that the values are reasonable or consistent with the actual file size. Affected fields include DataSize, DataOffset, and Size from the load command, Count from the SuperBlob header, and Length from individual blob headers. An attacker can craft a minimal (~4KB) malicious Mach-O binary with extremely large values in these fields, causing Quill to attempt to allocate excessive memory. This leads to memory exhaustion and denial of service, potentially crashing the host process. Both the Quill CLI and Go library are affected when used to parse untrusted Mach-O files. This vulnerability is fixed in 0.7.1. | ||||
| CVE-2020-11075 | 1 Anchore | 1 Engine | 2024-11-21 | 7.7 High |
| In Anchore Engine version 0.7.0, a specially crafted container image manifest, fetched from a registry, can be used to trigger a shell escape flaw in the anchore engine analyzer service during an image analysis process. The image analysis operation can only be executed by an authenticated user via a valid API request to anchore engine, or if an already added image that anchore is monitoring has its manifest altered to exploit the same flaw. A successful attack can be used to execute commands that run in the analyzer environment, with the same permissions as the user that anchore engine is run as - including access to the credentials that Engine uses to access its own database which have read-write ability, as well as access to the running engien analyzer service environment. By default Anchore Engine is released and deployed as a container where the user is non-root, but if users run Engine directly or explicitly set the user to 'root' then that level of access may be gained in the execution environment where Engine runs. This issue is fixed in version 0.7.1. | ||||
| CVE-2018-1999033 | 1 Anchore | 1 Container Image Scanner | 2024-11-21 | 6.5 Medium |
| An exposure of sensitive information vulnerability exists in Jenkins Anchore Container Image Scanner Plugin 10.16 and earlier in AnchoreBuilder.java that allows attackers with Item/ExtendedRead permission or file system access to the Jenkins master to obtain the password stored in this plugin's configuration. | ||||
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