CVE-2026-39979VulnerabilityPublished 18 May 2026Updated 25 Oct 2026

Red Hat Security Advisory: jq security update

Affects Red Hat jqSource GCVE Database

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Mentioned vulnerabilities

CVE-2026-40164

Authoritative record:CVE-2026-39979· Medium 6.9

Not known to be exploited · CVSS 6.9 Medium.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 4.0 base score

6.9Medium

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.5% chance of exploitation in 30 days – higher than 46% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:L/SC:N/SI:N/SA:N

Attack Vector: Network
Attack Complexity: Low
Attack Requirements: None
Privileges Required: None
User Interaction: None
Vulnerable system confidentiality: Low
Vulnerable system integrity: None
Vulnerable system availability: Low
Subsequent system confidentiality: None
Subsequent system integrity: None
Subsequent system availability: None

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable system is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: The attacker must take no measurable action to exploit the vulnerability. The attack requires no target-specific circumvention to exploit the vulnerability. An attacker can expect repeatable success against the vulnerable system.
Attack Requirements: None: The successful attack does not depend on the deployment and execution conditions of the vulnerable system. The attacker can expect to be able to reach the vulnerability and execute the exploit under all or most instances of the vulnerability.
Privileges Required: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.
User Interaction: None: The vulnerable system can be exploited without interaction from any human user, other than the attacker.
Vulnerable system confidentiality: Low: There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the Vulnerable System.
Vulnerable system integrity: None: There is no loss of integrity within the Vulnerable System.
Vulnerable system availability: Low: Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the Vulnerable System are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the Vulnerable System.
Subsequent system confidentiality: None: There is no loss of confidentiality within the Subsequent System or all confidentiality impact is constrained to the Vulnerable System.
Subsequent system integrity: None: There is no loss of integrity within the Subsequent System or all integrity impact is constrained to the Vulnerable System.
Subsequent system availability: None: There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable System.

Definitions: FIRST CVSS v4.0 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 13 Apr 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponized: A Metasploit exploit module or Exploit-DB entry exists (Metasploit scanner modules do not count), or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Affected software

Product	Affected	Fixed in
jqlangjq	Affected =< 2f09060afab23fe9390cce7cb860b10416e1bf5f	Fixed in–

AI-suggested

Red Hat has released updated jq packages (version 1.6-12.el9_0.3) for Red Hat Enterprise Linux 9.0 Update Services for SAP Solutions across multiple architectures. Users should apply these official updates as detailed in Red Hat advisory RHSA-2026:18045 and the referenced article https://access.redhat.com/articles/11258 to remediate the vulnerabilities. No additional mitigations are specified or required beyond applying the vendor-provided patches.

Description

jq is a lightweight and flexible command-line JSON processor. jq is like sed for JSON data. You can use it to slice, filter, map, or transform structured data with the same ease that sed, awk, grep, or similar applications allow you to manipulate text. Security Fix(es): * jq: out-of-bounds read in jv_parse_sized() on error formatting for non-NUL-terminated buffers (CVE-2026-39979) * jq: jq: Denial of Service via crafted JSON object causing hash collisions (CVE-2026-40164) For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.

Impact

The out-of-bounds read vulnerability (CVE-2026-39979) could lead to potential memory corruption or crashes when jq processes malformed JSON buffers that are not properly NUL-terminated. The denial of service vulnerability (CVE-2026-40164) allows an attacker to cause jq to consume excessive resources or crash by submitting specially crafted JSON objects that cause hash collisions. These issues could disrupt applications or systems relying on jq for JSON processing, leading to service interruptions or instability.

Summary

Red Hat Product Security has published an advisory (RHSA-2026:18045) addressing two vulnerabilities in jq, a lightweight JSON processor included in Red Hat Enterprise Linux 9.0 Update Services for SAP Solutions. CVE-2026-39979 is an out-of-bounds read vulnerability in the jv_parse_sized() function triggered by error formatting of non-NUL-terminated buffers. CVE-2026-40164 is a denial of service vulnerability caused by crafted JSON objects that induce hash collisions. The advisory provides updated jq packages (version 1.6-12.el9_0.3) for multiple architectures including x86_64, ppc64le, aarch64, and s390x. The update mitigates these vulnerabilities by correcting the parsing and hash collision handling mechanisms. No CVSS scores are provided in the advisory. The vulnerabilities are rated with an important security impact by Red Hat.

CWE-125Out-of-bounds Read (opens in a new tab)
Base weaknessCWE Top 25 (2025): #8
The product reads data past the end, or before the beginning, of the intended buffer.
Implementation · Input Validation
Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
Architecture and Design · Language Selection
Use a language that provides appropriate memory abstractions.
OWASP Cheat Sheets
XML Security (opens in a new tab)
Mass Assignment (opens in a new tab)
OWASP ASVS 4.0.3
V13.3.1 (opens in a new tab)
V5.1.4 (opens in a new tab)
V5.1.3 (opens in a new tab)
Attack patterns
Overread Buffers (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).
CWE-341Predictable from Observable State (opens in a new tab)
Base weakness
A number or object is predictable based on observations that the attacker can make about the state of the system or network, such as time, process ID, etc.
Implementation
Increase the entropy used to seed a PRNG.
Architecture and Design · Requirements · Libraries or Frameworks
Use products or modules that conform to FIPS 140-2 to avoid obvious entropy problems. Consult FIPS 140-2 Annex C ("Approved Random Number Generators").
Implementation
Use a PRNG that periodically re-seeds itself using input from high-quality sources, such as hardware devices with high entropy. However, do not re-seed too frequently, or else the entropy source might block.
OWASP Cheat Sheets
Forgot Password (opens in a new tab)
OWASP ASVS 4.0.3
V2.3.1 (opens in a new tab)
V2.6.2 (opens in a new tab)
V2.7.6 (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 10 Jul 2026, 12:57 UTC

WeaknessesCWE-125, CWE-341

Technical details

References

Community reviews

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