Security Bulletin
Summary
Multiple Vulnerabilities found in EDB PGAI database products. Hence, IBM strongly recommends upgrading to 18.6
Vulnerability Details
CVEID: CVE-2026-30922
DESCRIPTION: pyasn1 is a generic ASN.1 library for Python. Prior to 0.6.3, the `pyasn1` library is vulnerable to a Denial of Service (DoS) attack caused by uncontrolled recursion when decoding ASN.1 data with deeply nested structures. An attacker can supply a crafted payload containing thousands of nested `SEQUENCE` (`0x30`) or `SET` (`0x31`) tags with "Indefinite Length" (`0x80`) markers. This forces the decoder to recursively call itself until the Python interpreter crashes with a `RecursionError` or consumes all available memory (OOM), crashing the host application. This is a distinct vulnerability from CVE-2026-23490 (which addressed integer overflows in OID decoding). The fix for CVE-2026-23490 (`MAX_OID_ARC_CONTINUATION_OCTETS`) does not mitigate this recursion issue. Version 0.6.3 fixes this specific issue.
CWE: CWE-674: Uncontrolled Recursion
CVSS Source: security-advisories@github.com
CVSS Base score: 7.5
CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
CVEID: CVE-2026-0994
DESCRIPTION: A denial-of-service (DoS) vulnerability exists in google.protobuf.json_format.ParseDict() in Python, where the max_recursion_depth limit can be bypassed when parsing nested google.protobuf.Any messages.
Due to missing recursion depth accounting inside the internal Any-handling logic, an attacker can supply deeply nested Any structures that bypass the intended recursion limit, eventually exhausting Python’s recursion stack and causing a RecursionError.
CWE: CWE-674: Uncontrolled Recursion
CVSS Source: NVD
CVSS Base score: 7.5
CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
CVEID: CVE-2026-23490
DESCRIPTION: pyasn1 is a generic ASN.1 library for Python. Prior to 0.6.2, a Denial-of-Service issue has been found that leads to memory exhaustion from malformed RELATIVE-OID with excessive continuation octets. This vulnerability is fixed in 0.6.2.
CWE: CWE-770: Allocation of Resources Without Limits or Throttling
CVSS Source: security-advisories@github.com
CVSS Base score: 7.5
CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
CVEID: CVE-2024-56433
DESCRIPTION: shadow-utils (aka shadow) 4.4 through 4.17.0 establishes a default /etc/subuid behavior (e.g., uid 100000 through 165535 for the first user account) that can realistically conflict with the uids of users defined on locally administered networks, potentially leading to account takeover, e.g., by leveraging newuidmap for access to an NFS home directory (or same-host resources in the case of remote logins by these local network users). NOTE: it may also be argued that system administrators should not have assigned uids, within local networks, that are within the range that can occur in /etc/subuid.
CWE: CWE-1188: Initialization of a Resource with an Insecure Default
CVSS Source: cve@mitre.org
CVSS Base score: 3.6
CVSS Vector: (CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:L/I:L/A:N)
CVEID: CVE-2026-21226
DESCRIPTION: Deserialization of untrusted data in Azure Core shared client library for Python allows an authorized attacker to execute code over a network.
CWE: CWE-502: Deserialization of Untrusted Data
CVSS Source: secure@microsoft.com
CVSS Base score: 7.5
CVSS Vector: (CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H)
CVEID: CVE-2026-24049
DESCRIPTION: wheel is a command line tool for manipulating Python wheel files, as defined in PEP 427. In versions 0.40.0 through 0.46.1, the unpack function is vulnerable to file permission modification through mishandling of file permissions after extraction. The logic blindly trusts the filename from the archive header for the chmod operation, even though the extraction process itself might have sanitized the path. Attackers can craft a malicious wheel file that, when unpacked, changes the permissions of critical system files (e.g., /etc/passwd, SSH keys, config files), allowing for Privilege Escalation or arbitrary code execution by modifying now-writable scripts. This issue has been fixed in version 0.46.2.
CWE: CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
CVSS Source: NVD
CVSS Base score: 5.5
CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N)
CVEID: CVE-2026-21441
DESCRIPTION: urllib3 is an HTTP client library for Python. urllib3's streaming API is designed for the efficient handling of large HTTP responses by reading the content in chunks, rather than loading the entire response body into memory at once. urllib3 can perform decoding or decompression based on the HTTP `Content-Encoding` header (e.g., `gzip`, `deflate`, `br`, or `zstd`). When using the streaming API, the library decompresses only the necessary bytes, enabling partial content consumption. Starting in version 1.22 and prior to version 2.6.3, for HTTP redirect responses, the library would read the entire response body to drain the connection and decompress the content unnecessarily. This decompression occurred even before any read methods were called, and configured read limits did not restrict the amount of decompressed data. As a result, there was no safeguard against decompression bombs. A malicious server could exploit this to trigger excessive resource consumption on the client. Applications and libraries are affected when they stream content from untrusted sources by setting `preload_content=False` when they do not disable redirects. Users should upgrade to at least urllib3 v2.6.3, in which the library does not decode content of redirect responses when `preload_content=False`. If upgrading is not immediately possible, disable redirects by setting `redirect=False` for requests to untrusted source.
CWE: CWE-409: Improper Handling of Highly Compressed Data (Data Amplification)
CVSS Source: NVD
CVSS Base score: 7.5
CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Affected Products and Versions
| Affected Product(s) | Version(s) |
| EDB Postgres AI Database with IBM | All |
| EDB Postgres AI Database with IBM | All |
| EDB Postgres AI Database with IBM | All |
| EDB Postgres AI Database with IBM | All |
| EDB Postgres AI Database with IBM | All |
| EDB Postgres AI Database with IBM | All |
| EDB Postgres AI Database with IBM | All |
Remediation/Fixes
Fixed the mentioned CVEs in EDB Postgres AI Database with IBM 18.6
IBM strongly recommends addressing the vulnerability now.
| Product(s) | Version(s) | Remediation/Fix/Instructions |
| EDB Postgres AI Database with IBM | 18.6 |
Refer below for Instructions |
Instructions:
EDB Postgres AI
Getting started with EDB Postgres AI with IBM
IBM® License Metric Tool (ILMT) helps Passport Advantage® clients to maintain an up-to-date inventory of IBM software assets that are installed in their infrastructure, gather information about client's hardware and ensure license compliance of client's enterprise.
Following steps prior to the use of the product:
Step-1: Login-to IBM-Passport Advantage. (https://www.ibm.com/software/passportadvantage/pao-customer)
Step-2: Customer can access/download Readme file, Swidtags, License information (LI)
Step-3: IBM customers gain direct access to their entitled software through downloads.enterprisedb.com, which will re-direct customers to EDB repo for the Software Download and Install the Software. Note: In case of access issues at EDB portal, Please contact your IBM Account Lead to supply you 'Getting Started Guide'.
Step-4: Extract the license tarball and place the Swidtag folder under <INSTALL_PATH>/swidtag/
(IBM License and notices files can be found in the "IBM Licenses" folder.)
Workarounds and Mitigations
None
Get Notified about Future Security Bulletins
References
Acknowledgement
Change History
29 Sep 2026: Initial Publication
*The CVSS Environment Score is customer environment specific and will ultimately impact the Overall CVSS Score. Customers can evaluate the impact of this vulnerability in their environments by accessing the links in the Reference section of this Security Bulletin.
Disclaimer
According to the Forum of Incident Response and Security Teams (FIRST), the Common Vulnerability Scoring System (CVSS) is an "industry open standard designed to convey vulnerability severity and help to determine urgency and priority of response." IBM PROVIDES THE CVSS SCORES ""AS IS"" WITHOUT WARRANTY OF ANY KIND, INCLUDING THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. CUSTOMERS ARE RESPONSIBLE FOR ASSESSING THE IMPACT OF ANY ACTUAL OR POTENTIAL SECURITY VULNERABILITY. In addition to other efforts to address potential vulnerabilities, IBM periodically updates the record of components contained in our product offerings. As part of that effort, if IBM identifies previously unidentified packages in a product/service inventory, we address relevant vulnerabilities regardless of CVE date. Inclusion of an older CVEID does not demonstrate that the referenced product has been used by IBM since that date, nor that IBM was aware of a vulnerability as of that date. We are making clients aware of relevant vulnerabilities as we become aware of them. "Affected Products and Versions" referenced in IBM Security Bulletins are intended to be only products and versions that are supported by IBM and have not passed their end-of-support or warranty date. Thus, failure to reference unsupported or extended-support products and versions in this Security Bulletin does not constitute a determination by IBM that they are unaffected by the vulnerability. Reference to one or more unsupported versions in this Security Bulletin shall not create an obligation for IBM to provide fixes for any unsupported or extended-support products or versions.
Document Location
Worldwide
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Document Information
Modified date:
29 September 2026
Initial Publish date:
29 September 2026
UID
ibm17290084