CVE-2023-34105 (GCVE-0-2023-34105)
Vulnerability from cvelistv5 – Published: 2023-06-12 16:30 – Updated: 2025-01-03 23:24Title
SRS has command injection vulnerability in demonstration api-server for HTTP callback.
Summary
SRS is a real-time video server supporting RTMP, WebRTC, HLS, HTTP-FLV, SRT, MPEG-DASH, and GB28181. Prior to versions 5.0.157, 5.0-b1, and 6.0.48, SRS's `api-server` server is vulnerable to a drive-by command injection. An attacker may send a request to the `/api/v1/snapshots` endpoint containing any commands to be executed as part of the body of the POST request. This issue may lead to Remote Code Execution (RCE). Versions 5.0.157, 5.0-b1, and 6.0.48 contain a fix.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-03 23:24 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/ossrs/srs/security/advisories/… | x_refsource_CONFIRM |
| https://github.com/ossrs/srs/commit/1d878c2daaf91… | x_refsource_MISC |
| https://github.com/ossrs/srs/blob/1d11d02e4b82fc3… | x_refsource_MISC |
Impacted products
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: acbb9aab-7ada-4dc0-b17b-9d5dd3ce96b4
Exploited: Yes
Characteristics
Severity:
75.0
Timestamps
First Seen: 2025-08-17
Asserted: 2025-08-17
Last Seen: 2026-09-06
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: Open Source SRS Community / SNS | Class: other-software | Severity: High (CVSS 7.5) | IoT: no | In CISA KEV: no | Honeypot connections on 2026-09-06: 37
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 3 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | other-software |
| 7D Avg | 2 |
| Vendor | Open Source SRS Community |
| 30D Avg | 1 |
| 90D Avg | 1 |
| Product | SNS |
| Cisa Kev | no |
| Connections | 37 |
| Observation Date | 2026-09-06 |
| Vulnerability Class | CVSS |
| Vulnerability Score | 7.5 |
| Vulnerability Severity | High |
References
Created: 2026-07-01 05:54 UTC
| Updated: 2026-09-08 01:00 UTC
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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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