Vulnerability-Lookup

JVNDB-2024-000108

Vulnerability from jvndb - Published: 2024-10-01 08:51 - Updated:2024-10-01 08:51

Severity

7.5 (High) - cvssV3_0 - CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Summary

Apache Tomcat improper handling of TLS handshake process data

Details

Apache Tomcat provided by The Apache Software Foundation improperly handles TLS handshake process data, which may lead to a denial-of-service (DoS) condition (CWE-770, CVE-2024-38286). The reporter, Ozaki of North Grid Corporation, reported this issue directly to and coordinated with the developer. After the coordination, the reporter also reported the case to IPA, and JPCERT/CC coordinated with the developer to publish the advisory on JVN.

References

Type

URL

	JVN	https://jvn.jp/en/jp/JVN72148744/index.html
	CVE	https://www.cve.org/CVERecord?id=CVE-2024-38286
	No Mapping(CWE-Other)	https://www.ipa.go.jp/en/security/vulnerabilities/cwe.html

Impacted products

Vendor

Product

Apache Software Foundation

Apache Tomcat

Show details on JVN DB website

JSON

To clipboard

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  "dc:date": "2024-10-01T17:51+09:00",
  "dcterms:issued": "2024-10-01T17:51+09:00",
  "dcterms:modified": "2024-10-01T17:51+09:00",
  "description": "Apache Tomcat provided by The Apache Software Foundation improperly handles TLS handshake process data, which may lead to a denial-of-service (DoS) condition (CWE-770, CVE-2024-38286).\r\n\r\nThe reporter, Ozaki of North Grid Corporation, reported this issue directly to and coordinated with the developer.\r\nAfter the coordination, the reporter also reported the case to IPA, and JPCERT/CC coordinated with the developer to publish the advisory on JVN.",
  "link": "https://jvndb.jvn.jp/en/contents/2024/JVNDB-2024-000108.html",
  "sec:cpe": {
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    "@product": "Apache Tomcat",
    "@vendor": "Apache Software Foundation",
    "@version": "2.2"
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  "sec:cvss": {
    "@score": "7.5",
    "@severity": "High",
    "@type": "Base",
    "@vector": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
    "@version": "3.0"
  },
  "sec:identifier": "JVNDB-2024-000108",
  "sec:references": [
    {
      "#text": "https://jvn.jp/en/jp/JVN72148744/index.html",
      "@id": "JVN#72148744",
      "@source": "JVN"
    },
    {
      "#text": "https://www.cve.org/CVERecord?id=CVE-2024-38286",
      "@id": "CVE-2024-38286",
      "@source": "CVE"
    },
    {
      "#text": "https://www.ipa.go.jp/en/security/vulnerabilities/cwe.html",
      "@id": "CWE-Other",
      "@title": "No Mapping(CWE-Other)"
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  "title": "Apache Tomcat improper handling of TLS handshake process data"
}

CVE-2024-38286 (GCVE-0-2024-38286)

Vulnerability from cvelistv5 – Published: 2024-11-07 07:37 – Updated: 2025-11-03 20:38

Title

Apache Tomcat: Denial of Service

Summary

Allocation of Resources Without Limits or Throttling vulnerability in Apache Tomcat. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.0-M20, from 10.1.0-M1 through 10.1.24, from 9.0.13 through 9.0.89. The following versions were EOL at the time the CVE was created but are known to be affected: 8.5.35 through 8.5.100 and 7.0.92 through 7.0.109. Other EOL versions may also be affected. Users are recommended to upgrade to version 11.0.0-M21, 10.1.25, or 9.0.90, which fixes the issue. Apache Tomcat, under certain configurations on any platform, allows an attacker to cause an OutOfMemoryError by abusing the TLS handshake process.

Severity

8.6 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-11-07 16:33 UTC

CWE

CWE-770 - Allocation of Resources Without Limits or Throttling

Assigner

apache mitre root

References

4 references

URL	Tags
https://lists.apache.org/thread/wms60cvbsz3fpbz9p…	vendor-advisory
http://www.openwall.com/lists/oss-security/2024/09/23/2
https://security.netapp.com/advisory/ntap-2024110…
https://lists.debian.org/debian-lts-announce/2025…

Impacted products

2 products

Vendor	Product	Version
Apache Software Foundation	Apache Tomcat	Affected: 11.0.0-M1 , ≤ 11.0.0-M20 (semver) Affected: 10.1.0-M1 , ≤ 10.1.24 (semver) Affected: 9.0.13 , ≤ 9.0.89 (semver) Affected: 8.5.35 , ≤ 8.5.100 (semver) Affected: 7.0.92 , ≤ 7.0.109 (semver) Unknown: 10.0.0-M1 , ≤ 10.0.27 (semver)
apache	tomcat	Affected: 11.0.0-m1 , ≤ 11.0.0-m20 (semver) Affected: 10.1.0-m1 , ≤ 10.1.24 (semver) Affected: 9.0.13 , ≤ 9.0.89 (custom) cpe:2.3:a:apache:tomcat::::::::

Credits

Ozaki, North Grid Corporation

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

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.

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.