FKIE_CVE-2022-50788
Vulnerability from fkie_nvd - Published: 2025-12-30 23:15 - Updated: 2026-06-17 05:24
Severity
Summary
SOUND4 IMPACT/FIRST/PULSE/Eco <=2.x contains an information disclosure vulnerability that allows unauthenticated attackers to access sensitive log files. Attackers can directly browse the /log directory to retrieve system and sensitive information without authentication.
References
| URL | Tags | ||
|---|---|---|---|
| disclosure@vulncheck.com | https://exchange.xforce.ibmcloud.com/vulnerabilities/247921 | Third Party Advisory | |
| disclosure@vulncheck.com | https://packetstormsecurity.com/files/170259/SOUND4-IMPACT-FIRST-PULSE-Eco-2.x-Information-Disclosure.html | Exploit, Third Party Advisory, VDB Entry | |
| disclosure@vulncheck.com | https://www.sound4.com/ | Product | |
| disclosure@vulncheck.com | https://www.vulncheck.com/advisories/sound-impactfirstpulseeco-x-information-disclosure-via-log-directory | Third Party Advisory | |
| disclosure@vulncheck.com | https://www.zeroscience.mk/en/vulnerabilities/ZSL-2022-5732.php | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| sound4 | first_firmware | 2.15 | |
| sound4 | first | 2.0 | |
| sound4 | first_firmware | 1.69 | |
| sound4 | first | 1.0 | |
| sound4 | impact_eco_firmware | 1.16 | |
| sound4 | impact_eco | - | |
| sound4 | pulse_eco_firmware | 1.16 | |
| sound4 | pulse_eco | - | |
| sound4 | big_voice4_firmware | 1.2 | |
| sound4 | big_voice4 | - | |
| sound4 | big_voice2_firmware | 1.30 | |
| sound4 | big_voice2 | - | |
| sound4 | wm2_firmware | 1.11 | |
| sound4 | wm2 | - | |
| sound4 | impact_firmware | 2.15 | |
| sound4 | impact | 2.0 | |
| sound4 | impact_firmware | 1.69 | |
| sound4 | impact | 1.0 | |
| sound4 | pulse_firmware | 2.15 | |
| sound4 | pulse | 2.0 | |
| sound4 | pulse_firmware | 1.69 | |
| sound4 | pulse | 1.0 | |
| sound4 | stream_extension | 2.4.29 |
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"vendor": "SOUND4 Ltd.",
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{
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}
]
},
{
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"vendor": "SOUND4 Ltd.",
"versions": [
{
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}
]
},
{
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"vendor": "SOUND4 Ltd.",
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{
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}
]
},
{
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"vendor": "SOUND4 Ltd.",
"versions": [
{
"status": "affected",
"version": "1.1/2.4.29"
}
]
},
{
"product": "WM2",
"vendor": "Kantar Media",
"versions": [
{
"status": "affected",
"version": "1.11"
}
]
}
],
"source": "disclosure@vulncheck.com"
}
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"id": "CVE-2022-50788",
"lastModified": "2026-06-17T05:24:10.963",
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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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