CVE-2026-27475: 
NixOS vulnerability analysis and mitigation

Overview

CVE-2026-27475 is an insecure deserialization vulnerability in SPIP, a popular open-source CMS, affecting versions 4.4.0 through 4.4.8 (before 4.4.9). The flaw exists in the public area through the table_valeur filter and the DATA iterator, both of which accept serialized data without adequate validation. It was published on February 19, 2026, with a patch released in SPIP 4.4.9. The vulnerability carries a CVSS v3.1 base score of 8.1 (High) and a CVSS v4.0 base score of 9.2 (Critical) (Feedly, SPIP Blog).

Technical details

The root cause is classified as CWE-502 (Deserialization of Untrusted Data). The table_valeur filter and DATA iterator in SPIP's public-facing area accept PHP serialized data, which can be manipulated by an attacker to trigger arbitrary object instantiation — a technique also known as PHP Object Injection (CAPEC-586). Exploitation requires a pre-condition: the attacker must be able to place malicious serialized content, either through prior access or by chaining another vulnerability. Notably, SPIP's built-in security screen does not mitigate this flaw, and the use of serialized data in these components has been deprecated and is slated for removal in SPIP 5 (Feedly).

Impact

Successful exploitation can result in arbitrary code execution on the server hosting the SPIP instance, with full impact to confidentiality, integrity, and availability. An attacker achieving code execution could exfiltrate sensitive data, modify or destroy content, install backdoors, or pivot to other systems on the internal network. The vulnerability is network-accessible and requires no user interaction, amplifying its potential blast radius (Feedly).

Exploitability

As of the time of reporting, there is no public proof-of-concept exploit and no evidence of active in-the-wild exploitation (Feedly). The EPSS score is approximately 0.054%, reflecting a currently low probability of exploitation in the near term. The vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. Exploitation is constrained by the requirement to first place malicious serialized content, raising the attack complexity in practice despite the network-accessible attack vector.

Exploitation steps

  1. Reconnaissance: Identify publicly accessible SPIP installations running versions 4.4.0–4.4.8 using web fingerprinting tools (e.g., Wappalyzer, Shodan) or by inspecting HTTP response headers and page metadata for SPIP version indicators.
  2. Identify injection point: Locate SPIP pages or templates that use the table_valeur filter or the DATA iterator in the public area, which accept serialized PHP data as input.
  3. Achieve pre-condition: Gain the ability to place malicious serialized content — either through a separate vulnerability (e.g., file upload, another injection flaw) or through prior authenticated access to the CMS.
  4. Craft malicious payload: Generate a PHP serialized object payload targeting a gadget chain present in the SPIP codebase or its dependencies (e.g., using tools like PHPGGC to enumerate and build gadget chains).
  5. Trigger deserialization: Submit the crafted serialized payload through the vulnerable table_valeur filter or DATA iterator, causing SPIP to deserialize the object and instantiate arbitrary PHP objects.
  6. Achieve code execution: If a suitable gadget chain exists, the deserialization triggers a chain of method calls leading to arbitrary command execution on the server, enabling reverse shell establishment, data exfiltration, or further lateral movement (Feedly).

Indicators of compromise

  • Logs: Unusual or malformed serialized data strings (beginning with a:, O:, s:, etc.) appearing in SPIP access logs or application error logs, particularly in parameters associated with table_valeur or DATA iterator requests.
  • Logs: PHP deserialization errors or unexpected object instantiation warnings in the SPIP/PHP error log.
  • Network: Outbound connections from the web server process to unexpected external IP addresses, potentially indicating a reverse shell or data exfiltration attempt.
  • File System: Newly created or modified PHP files in the SPIP installation directory (e.g., tmp/, IMG/, local/) that were not part of the original installation, potentially indicating web shell placement.
  • Process: Unusual child processes spawned by the web server (e.g., php, apache2, nginx) executing system commands such as curl, wget, bash, or python.

Mitigation and workarounds

The primary remediation is to upgrade SPIP to version 4.4.9 or later, which addresses this vulnerability (SPIP Blog). Debian users should apply the security update referenced in DSA-6155-1 (Debian Advisory). As a supplementary measure, organizations should monitor the table_valeur filter and DATA iterator for suspicious serialized input and implement web application firewall (WAF) rules to detect or block serialized PHP data in public-facing requests. Note that SPIP's built-in security screen does not mitigate this vulnerability, so patching is the only reliable fix.

Community reactions

The vulnerability received coverage from security aggregators and community platforms including Mastodon and Bluesky shortly after disclosure (Feedly). Debian issued a security advisory (DSA-6155-1) addressing this and related SPIP vulnerabilities (Debian Advisory). Security researchers noted the issue in Linux patch roundups, including the March 2026 Linux Patch Wednesday summary (avleonov.com). No major vendor statements or high-profile researcher commentary beyond standard advisory coverage have been observed.

Additional resources

Linux Distribution fix status

Fix availability across major Linux distributions and their releases.

Debian

Fixed

sid

spip: 4.4.9+dfsg-1

Fixed

trixie

spip: 4.4.11+dfsg-0+deb13u1

Fixed

Ubuntu

Unknown

bionic (esm-apps)

spip

Unknown

devel

spip

Not Affected

focal (esm-apps)

spip

Unknown

jammy

spip

Unknown

jammy (esm-apps)

spip

Unknown

noble

spip

Unknown

noble (esm-apps)

spip

Unknown

resolute

spip

Unknown

Source: This report was generated using AI

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