CVE-2022-22183 (GCVE-0-2022-22183)

Vulnerability from cvelistv5 – Published: 2022-04-14 15:50 – Updated: 2024-09-16 20:13
VLAI
Title
Junos OS Evolved: A remote attacker may cause a CPU Denial of Service by sending genuine traffic to a device on a specific IPv4 port.
Summary
An Improper Access Control vulnerability in Juniper Networks Junos OS Evolved allows a network-based unauthenticated attacker who is able to connect to a specific open IPv4 port, which in affected releases should otherwise be unreachable, to cause the CPU to consume all resources as more traffic is sent to the port to create a Denial of Service (DoS) condition. Continued receipt and processing of these packets will create a sustained Denial of Service (DoS) condition. This issue affects: Juniper Networks Junos OS Evolved 20.4 versions prior to 20.4R3-S2-EVO; 21.1 versions prior to 21.1R3-S1-EVO; 21.2 versions prior to 21.2R3-EVO; 21.3 versions prior to 21.3R2-EVO; 21.4 versions prior to 21.4R2-EVO. This issue does not affect Junos OS.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE
  • Denial of Service (DoS)
  • CWE-16 - Configuration
  • CWE-200 - Information Exposure
  • CWE-284 - Improper Access Control
Assigner
juniper CNA under the mitre root
CNA scorecard B 84/100 over 193 records in the last 180 days details
References
URL Tags
https://kb.juniper.net/JSA69516 x_refsource_CONFIRM
Impacted products
Vendor Product Version CPE status
Juniper Networks Junos OS Evolved Affected: 20.4 , < 20.4R3-S2-EVO (custom)
Affected: 21.1 , < 21.1R3-S1-EVO (custom)
Affected: 21.2 , < 21.2R3-EVO (custom)
Affected: 21.3 , < 21.3R2-EVO (custom)
Affected: 21.4 , < 21.4R2-EVO (custom)
guessed Create a notification for this product.
Juniper Networks Junos OS Unaffected: Any
guessed Create a notification for this product.
Date Public
2022-04-13 00:00
Show details on NVD website
To clipboard 

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                "vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:C",
                "version": "2.0"
              },
              "exploitabilityScore": 10.0,
              "impactScore": 6.9,
              "obtainAllPrivilege": false,
              "obtainOtherPrivilege": false,
              "obtainUserPrivilege": false,
              "source": "nvd@nist.gov",
              "type": "Primary",
              "userInteractionRequired": false
            }
          ],
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "HIGH",
                "baseScore": 7.5,
                "baseSeverity": "HIGH",
                "confidentialityImpact": "NONE",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
                "version": "3.1"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 3.6,
              "source": "sirt@juniper.net",
              "type": "Secondary"
            },
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "HIGH",
                "baseScore": 7.5,
                "baseSeverity": "HIGH",
                "confidentialityImpact": "NONE",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
                "version": "3.1"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 3.6,
              "source": "nvd@nist.gov",
              "type": "Primary"
            }
          ]
        },
        "published": "2022-04-14T16:15:07.867",
        "references": [
          {
            "source": "sirt@juniper.net",
            "tags": [
              "Vendor Advisory"
            ],
            "url": "https://kb.juniper.net/JSA69516"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Vendor Advisory"
            ],
            "url": "https://kb.juniper.net/JSA69516"
          }
        ],
        "sourceIdentifier": "sirt@juniper.net",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-16"
              },
              {
                "lang": "en",
                "value": "CWE-200"
              },
              {
                "lang": "en",
                "value": "CWE-284"
              }
            ],
            "source": "sirt@juniper.net",
            "type": "Secondary"
          },
          {
            "description": [
              {
                "lang": "en",
                "value": "NVD-CWE-Other"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    },
    "redhat_vex": {
      "current_release_date": "2026-03-27T12:52:49+00:00",
      "cve": "CVE-2022-22183",
      "id": "CVE-2022-22183",
      "initial_release_date": "2022-04-13T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "Junos OS Evolved: A remote attacker may cause a CPU Denial of Service by sending genuine traffic to a device on a specific IPv4 port.",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-22183.json",
      "version": "3"
    }
  }
}



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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

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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.