CVE-2024-36445 (GCVE-0-2024-36445)
Vulnerability from cvelistv5 – Published: 2024-08-22 00:00 – Updated: 2024-08-22 23:03
VLAI
EPSS
VEX
Summary
Swissphone DiCal-RED 4009 devices allow a remote attacker to gain a root shell via TELNET without authentication.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-08-22 19:40 UTC
CWE
- n/a
- CWE-306 - Missing Authentication for Critical Function
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| swissphone | dical-red_4009 |
Affected:
0 , < *
(custom)
cpe:2.3:h:swissphone:dical-red_4009:*:*:*:*:*:*:*:* |
{
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{
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"metrics": [
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"url": "https://www.swissphone.com/en-us/solutions/components/terminals/radio-data-module-dical-red/"
},
{
"url": "https://www.syss.de/fileadmin/dokumente/Publikationen/Advisories/SYSS-2024-035.txt"
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"state": "PUBLISHED"
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"vulnerability-lookup:meta": {
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"date": "2026-09-16",
"epss": "0.00977",
"percentile": "0.60425"
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"fkie_nvd": {
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"id": "CVE-2024-36445",
"lastModified": "2024-11-21T09:22:12.097",
"metrics": "{\"cvssMetricV31\": [{\"source\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"type\": \"Secondary\", \"cvssData\": {\"version\": \"3.1\", \"vectorString\": \"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H\", \"baseScore\": 9.8, \"baseSeverity\": \"CRITICAL\", \"attackVector\": \"NETWORK\", \"attackComplexity\": \"LOW\", \"privilegesRequired\": \"NONE\", \"userInteraction\": \"NONE\", \"scope\": \"UNCHANGED\", \"confidentialityImpact\": \"HIGH\", \"integrityImpact\": \"HIGH\", \"availabilityImpact\": \"HIGH\"}, \"exploitabilityScore\": 3.9, \"impactScore\": 5.9}]}",
"published": "2024-08-22T15:15:16.187",
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"vulnStatus": "Awaiting Analysis",
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"redhat_vex": {
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"id": "CVE-2024-36445",
"initial_release_date": "2024-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
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"url": "https://security.access.redhat.com/data/csaf/v2/vex/2024/cve-2024-36445.json",
"version": "3"
},
"vulnrichment": {
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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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