CVE-2021-21315 (GCVE-0-2021-21315)
Vulnerability from cvelistv5 – Published: 2021-02-16 17:00 – Updated: 2025-10-21 23:35Title
Command Injection Vulnerability
Summary
The System Information Library for Node.JS (npm package "systeminformation") is an open source collection of functions to retrieve detailed hardware, system and OS information. In systeminformation before version 5.3.1 there is a command injection vulnerability. Problem was fixed in version 5.3.1. As a workaround instead of upgrading, be sure to check or sanitize service parameters that are passed to si.inetLatency(), si.inetChecksite(), si.services(), si.processLoad() ... do only allow strings, reject any arrays. String sanitation works as expected.
Severity
7.1 (High)
SSVC
Exploitation: active
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-06 19:38 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://www.npmjs.com/package/systeminformation | x_refsource_MISC |
| https://github.com/sebhildebrandt/systeminformati… | x_refsource_CONFIRM |
| https://github.com/sebhildebrandt/systeminformati… | x_refsource_MISC |
| https://lists.apache.org/thread.html/r8afea9a83ed… | mailing-listx_refsource_MLIST |
| https://security.netapp.com/advisory/ntap-2021031… | x_refsource_CONFIRM |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| sebhildebrandt | systeminformation |
Affected:
< 5.3.1
|
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 270e0231-c5a1-43e6-84f8-06d6f6caa895
Exploited: Yes
Timestamps
First Seen: 2022-01-18
Asserted: 2022-01-18
Scope
Notes: System Information Library for Node.JS Command Injection | Affected: Npm package / System Information Library for Node.JS | Description: In this vulnerability, an attacker can send a malicious payload that will exploit the name parameter. After successful exploitation, attackers can execute remote. | Required action: Apply updates per vendor instructions. | Due date: 2022-02-01 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2021-21315
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-78 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | System Information Library for Node.JS |
| Due Date | 2022-02-01 |
| Date Added | 2022-01-18 |
| Vendorproject | Npm package |
| Vulnerabilityname | System Information Library for Node.JS Command Injection |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-10-02 08:10 CEST
| Updated: 2026-10-02 08:10 CEST
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 6d4f3037-9b8b-4dc0-a690-f89525df519f
Exploited: Yes
Timestamps
First Seen: 2022-01-18
Asserted: 2022-01-18
Scope
Notes: Command Injection Vulnerability | Affected: Sebhildebrandt / systeminformation | CVSS: 7.1 (HIGH) | EPSS: 0.90675 | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | Command Injection Vulnerability |
| Cve Id | CVE-2021-21315 |
| Vendor | Sebhildebrandt |
| Ghsa Id | GHSA-2M8V-572M-FF2V |
| Product | systeminformation |
| Added Date | 2022-01-18T00:00:00.000Z |
| Cvss Score | 7.1 |
| Epss Score | 0.90675 |
| Previous Ids | |
| Cvss Severity | HIGH |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.99801 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2021-21315 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-10-02 09:10 CEST
| Updated: 2026-10-02 09:10 CEST
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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