VAR-201907-0408
Vulnerability from variot - Updated: 2024-11-23 21:59posix/JackSocket.cpp in libjack in JACK2 1.9.1 through 1.9.12 (as distributed with alsa-plugins 1.1.7 and later) has a "double file descriptor close" issue during a failed connection attempt when jackd2 is not running. Exploitation success depends on multithreaded timing of that double close, which can result in unintended information disclosure, crashes, or file corruption due to having the wrong file associated with the file descriptor. JACK2 and alsa The plug-in contains a double release vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. JACK2 is a low latency audio server. There is a security vulnerability in libjack's posix/JackSocket.cpp file from JACK 21.9.1 to 1.9.12. An attacker could exploit the vulnerability to disclose information, cause damage to the file, or cause other hazards. ========================================================================== Ubuntu Security Notice USN-5656-1 October 04, 2022
jackd2 vulnerability
A security issue affects these releases of Ubuntu and its derivatives:
- Ubuntu 16.04 ESM
Summary:
JACK could cause a crash in certain conditions.
Software Description: - jackd2: JACK Audio Connection Kit (server and example clients)
Details:
Joseph Yasi discovered that JACK incorrectly handled the closing of a socket in certain conditions. An attacker could potentially use this issue to cause a crash.
Update instructions:
The problem can be corrected by updating your system to the following package versions:
Ubuntu 16.04 ESM: jackd2 1.9.10+20150825git1ed50c92~dfsg-1ubuntu1+esm1 jackd2-firewire 1.9.10+20150825git1ed50c92~dfsg-1ubuntu1+esm1 libjack-jackd2-0 1.9.10+20150825git1ed50c92~dfsg-1ubuntu1+esm1
In general, a standard system update will make all the necessary changes.
References: https://ubuntu.com/security/notices/USN-5656-1 CVE-2019-13351
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.