Code InjectionWeakness · CWE-94

CVE-2025-25362

CRITICAL · 9.8 CVSS v3.1 Published 2025-03-05
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
100/100
Remediation priority · Urgent
Remotely reachable No privileges Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
A Server-Side Template Injection (SSTI) vulnerability in Spacy-LLM v0.7.2 allows attackers to execute arbitrary code via injecting a crafted payload into the template field.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · moderate confidence

A Server-Side Template Injection (SSTI) vulnerability in Spacy-LLM v0.7.2 allows attackers to execute arbitrary code by injecting crafted payloads into the template field. This occurs when user-supplied input is directly passed to the template engine without proper sanitization, enabling template directives to be interpreted as server-side code.

MitigationUpgrade to a patched version of Spacy-LLM if available. Otherwise, implement strict input validation and sanitize or disable template field processing for user-supplied content to prevent template injection.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Identify Spacy-LLM installation and version
    Run `pip show spacy-llm` or check your requirements file to confirm the installed version of the spacy-llm package
    Affected if The installed version is exactly v0.7.2 or falls within the affected range around 0.7.2
  2. Locate template configuration files
    Search your project for configuration files (YAML, JSON, or Python config) that define LLM prompts or template fields used by spacy-llm
    Affected if Template configuration files exist that define prompt templates processed by spacy-llm
  3. Inspect template field usage in code
    Review code that uses spacy-llm components and look for any prompt_template, template, or similar parameters that accept string templates
    Affected if Code passes template strings to spacy-llm components for prompt rendering
  4. Verify user input to template flow
    Trace data flow to determine whether user-supplied input or external data is directly passed to the template rendering function without sanitization
    Affected if User-provided data or external input is directly interpolated into template fields without validation or sanitization steps applied beforehand

You are affected if you have spacy-llm version 0.7.2 (or nearby unpatched versions) AND your application passes unsanitized user input directly into template fields used by spacy-llm for prompt rendering.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Upgrade to a patched version of Spacy-LLM if available. Otherwise, implement strict input validation and sanitize or disable template field processing for user-supplied content to prevent template injection.

Have this fixed Scoped from the published advisory
  • Consultation4.0 h
  • Implementation8.0 h
  • Testing4.0 h
  • Review / QA2.0 h
18.0 hours of engineering $3,200
Get help mitigating

An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $5,120.

Scan for this in your stack

Free · runs locally
dbcve dependency scanner

Check whether your project pulls in CVE-2025-25362 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.

References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2025-25362 in production — separate from our analysis above.

No notes yet

Be the first to add a field note for this CVE — a mitigation you’ve verified, a version caveat, or a link to a working fix. Sign in above to contribute.

What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
  • No weaponised exploit code, or anything meant to cause harm
  • No spam, self-promotion, credentials, or personal data