Red Hat Security Advisory: raptor2 security update
An integer underflow vulnerability exists in the raptor2 RDF Parser Toolkit used by Red Hat Enterprise Linux. This flaw occurs when normalizing a URI with the turtle parser, potentially leading to incorrect memory handling. Red Hat has released security updates addressing this issue in multiple versions of raptor2 for Red Hat Enterprise Linux 7 Extended Lifecycle Support and 9.4 Extended Update Support. The vulnerability is tracked as CVE-2024-57823 and is rated with high severity by Red Hat Product Security. No known exploits are reported in the wild at this time.
AI Analysis
Technical Summary
CVE-2024-57823 is an integer underflow vulnerability in the raptor2 component of the Redland RDF Parser Toolkit. The flaw occurs during URI normalization in the turtle parser, potentially leading to unexpected behavior or memory corruption. Red Hat has issued security advisories and updates for multiple Red Hat Enterprise Linux variants, including Extended Lifecycle Support 7 and Extended Update Support 9.2, to remediate this vulnerability. The advisories provide updated raptor2 packages that fix the integer underflow issue.
Potential Impact
The integer underflow in URI normalization could lead to memory corruption or other unintended behavior when parsing RDF data, which may be exploitable depending on the context of use. Red Hat rates the security impact as Important (high severity). There are no known exploits in the wild at this time.
Mitigation Recommendations
Red Hat has released security updates for raptor2 that fix this integer underflow vulnerability. Users should apply the provided updates for their specific Red Hat Enterprise Linux versions as detailed in the Red Hat advisories RHSA-2025:0319 and RHSA-2025:0310. No additional mitigation steps are indicated beyond applying these official patches.
Red Hat Security Advisory: raptor2 security update
Description
An integer underflow vulnerability exists in the raptor2 RDF Parser Toolkit used by Red Hat Enterprise Linux. This flaw occurs when normalizing a URI with the turtle parser, potentially leading to incorrect memory handling. Red Hat has released security updates addressing this issue in multiple versions of raptor2 for Red Hat Enterprise Linux 7 Extended Lifecycle Support and 9.4 Extended Update Support. The vulnerability is tracked as CVE-2024-57823 and is rated with high severity by Red Hat Product Security. No known exploits are reported in the wild at this time.
Affected software
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Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-57823 is an integer underflow vulnerability in the raptor2 component of the Redland RDF Parser Toolkit. The flaw occurs during URI normalization in the turtle parser, potentially leading to unexpected behavior or memory corruption. Red Hat has issued security advisories and updates for multiple Red Hat Enterprise Linux variants, including Extended Lifecycle Support 7 and Extended Update Support 9.2, to remediate this vulnerability. The advisories provide updated raptor2 packages that fix the integer underflow issue.
Potential Impact
The integer underflow in URI normalization could lead to memory corruption or other unintended behavior when parsing RDF data, which may be exploitable depending on the context of use. Red Hat rates the security impact as Important (high severity). There are no known exploits in the wild at this time.
Mitigation Recommendations
Red Hat has released security updates for raptor2 that fix this integer underflow vulnerability. Users should apply the provided updates for their specific Red Hat Enterprise Linux versions as detailed in the Red Hat advisories RHSA-2025:0319 and RHSA-2025:0310. No additional mitigation steps are indicated beyond applying these official patches.
Technical Details
- Gcve Source
- db.gcve.eu
- Csaf Category
- csaf_security_advisory
- Csaf Version
- 2.0
- Publisher
- Red Hat Product Security
- Advisory Id
- RHSA-2025:0319
- Cve Count
- 1
Threat ID: 6a3da1e94853345fc182f8a0
Added to database: 06/25/2026, 21:47:21 UTC
Last enriched: 08/07/2026, 00:09:56 UTC
Last updated: 09/10/2026, 19:36:49 UTC
Views: 22
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