CVE-2019-0001 (GCVE-0-2019-0001)
Vulnerability from cvelistv5 – Published: 2019-01-15 21:00 – Updated: 2024-09-17 03:43
VLAI
EPSS
VEX
Title
Junos OS: MX Series: uncontrolled recursion and crash in Broadband Edge subscriber management daemon (bbe-smgd).
Summary
Receipt of a malformed packet on MX Series devices with dynamic vlan configuration can trigger an uncontrolled recursion loop in the Broadband Edge subscriber management daemon (bbe-smgd), and lead to high CPU usage and a crash of the bbe-smgd service. Repeated receipt of the same packet can result in an extended denial of service condition for the device. Affected releases are Juniper Networks Junos OS: 16.1 versions prior to 16.1R7-S1; 16.2 versions prior to 16.2R2-S7; 17.1 versions prior to 17.1R2-S10, 17.1R3; 17.2 versions prior to 17.2R3; 17.3 versions prior to 17.3R3-S1; 17.4 versions prior to 17.4R2; 18.1 versions prior to 18.1R3; 18.2 versions prior to 18.2R2.
Severity
7.5 (High)
CWE
- CWE-674 - Uncontrolled Recursion
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://kb.juniper.net/JSA10900 | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/106541 | vdb-entryx_refsource_BID |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Juniper Networks | Junos OS |
Affected:
16.1 , < 16.1R7-S1
(custom)
Affected: 16.2 , < 16.2R2-S7 (custom) Affected: 17.1 , < 17.1R2-S10, 17.1R3 (custom) Affected: 17.2 , < 17.2R3 (custom) Affected: 17.3 , < 17.3R3-S1 (custom) Affected: 17.4 , < 17.4R2 (custom) Affected: 18.1 , < 18.1R3 (custom) Affected: 18.2 , < 18.2R2 (custom) |
guessed |
Date Public
2019-01-09 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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