CVE-2022-50789 (GCVE-0-2022-50789)
Vulnerability from cvelistv5 – Published: 2025-12-30 22:41 – Updated: 2026-01-16 18:59
VLAI
EPSS
VEX
Title
SOUND4 IMPACT/FIRST/PULSE/Eco <=2.x Conditional Command Injection via dns.php
Summary
SOUND4 IMPACT/FIRST/PULSE/Eco <=2.x contains a command injection vulnerability that allows local authenticated users to create malicious files in the /tmp directory with .dns.pid extension. Unauthenticated attackers can execute the malicious commands by making a single HTTP POST request to the vulnerable dns.php script, which triggers command execution and then deletes the file.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-05 19:40 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://www.zeroscience.mk/en/vulnerabilities/ZSL… | third-party-advisory |
| https://packetstormsecurity.com/files/170260/SOUN… | exploit |
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | vdb-entry |
| https://www.sound4.com/ | product |
| https://www.vulncheck.com/advisories/sound-impact… | third-party-advisory |
Impacted products
6 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SOUND4 Ltd. | Impact/Pulse/First |
Affected:
Version 2: 1.1/2.15
|
guessed | |
| SOUND4 Ltd. | Impact/Pulse Eco |
Affected:
1.16
|
guessed | |
| SOUND4 Ltd. | BigVoice4 |
Affected:
1.2
|
guessed | |
| SOUND4 Ltd. | BigVoice2 |
Affected:
1.30
|
guessed | |
| SOUND4 Ltd. | Stream |
Affected:
1.1/2.4.29
|
guessed | |
| Kantar Media | WM2 |
Affected:
1.11
|
guessed |
Date Public
2022-12-14 00:00
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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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