# CVE-2019-17357: SQL injection in n/a

> An attacker can exploit SQL injection in Cacti to extract database data, potentially via CSRF if unauthenticated.

- **Severity:** Medium 6.5 (`CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N`)
- **Exploited in the wild:** Not known
- **Login needed:** Any signed-in user
- **Attackable:** Over the internet
- **Victim action needed:** Not needed
- **Fix available:** Yes
- **Published:** 21 Jan 2020
- **Updated:** 5 Aug 2024
- **Also known as:** DEBIAN-CVE-2019-17357, GHSA-mxrx-hwh2-j2jm, UBUNTU-CVE-2019-17357

## What is CVE-2019-17357?

CVE-2019-17357 is a medium-severity SQL injection vulnerability in Cacti Cacti, published on 21 Jan 2020. Any signed-in user can exploit it over the network, with no action from the victim.

### Official description

Cacti through 1.2.7 is affected by a graphs.php?template_id= SQL injection vulnerability affecting how template identifiers are handled when a string and id composite value are used to identify the template type and id. An authenticated attacker can exploit this to extract data from the database, or an unauthenticated remote attacker could exploit this via Cross-Site Request Forgery.

Weakness: CWE-89 (Improper Neutralization of Special Elements used in an SQL Command)

## Which versions are affected by CVE-2019-17357?

It affects 1 product.


Products: Cacti Cacti.

## How do I fix CVE-2019-17357?

Upgrade to a fixed version.

## Is CVE-2019-17357 being exploited?

There is no known exploitation of CVE-2019-17357 in the wild and no public exploit code.

## Other vulnerabilities in Cacti Cacti

- [CVE-2022-46169](https://insights.sbomify.com/CVE-2022-46169/): Cacti Command Injection (critical 9.8, exploited in the wild)
- [CVE-2026-39893](https://insights.sbomify.com/CVE-2026-39893/): Cacti: Pre-authentication SQL injection via rfilter RLIKE clause in graph_view.php (critical 9.8)
- [CVE-2026-39938](https://insights.sbomify.com/CVE-2026-39938/): Cacti: Unauthenticated RCE on Graph Image (critical 9.8)
- [CVE-2026-39955](https://insights.sbomify.com/CVE-2026-39955/): Cacti has Pre-Authentication SQL Injection via unanchored FILTER_VALIDATE_REGEXP in graph_view.php (critical 9.8)
- [CVE-2023-39361](https://insights.sbomify.com/CVE-2023-39361/): Unauthenticated SQL Injection in graph_view.php in Cacti (critical 9.8)

## Fix prompt for AI coding agents

```text
Check this codebase for CVE-2019-17357 and fix it if it is affected.

What it is: CVE-2019-17357 is a medium-severity SQL injection vulnerability in Cacti Cacti, published on 21 Jan 2020. Any signed-in user can exploit it over the network, with no action from the victim.
Exploitation: There is no known exploitation of CVE-2019-17357 in the wild and no public exploit code.

Affected product: Cacti Cacti. No package-level version data is available, so check the vendor advisory linked from the reference page.

Task:
1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.
2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.
3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.
4. Run the tests and summarise what changed and why.
5. If nothing in the project is affected, say so and change nothing.

Reference: https://insights.sbomify.com/CVE-2019-17357/ (Markdown: https://insights.sbomify.com/CVE-2019-17357/index.md)
```

## Sources

- CVE record: https://www.cve.org/CVERecord?id=CVE-2019-17357
- NVD: https://nvd.nist.gov/vuln/detail/CVE-2019-17357
- OSV: https://osv.dev/vulnerability/CVE-2019-17357

---
From sbomify Insights: https://insights.sbomify.com/CVE-2019-17357/
Summaries are generated and may contain mistakes; the official description above is the record.
