CVE-2023-34150 (GCVE-0-2023-34150)
Vulnerability from cvelistv5 – Published: 2023-07-05 07:28 – Updated: 2024-08-02 16:01 Unsupported When Assigned
VLAI
EPSS
VEX
Title
Apache Any23: Possible excessive allocation of resources reading input.
Summary
** UNSUPPORTED WHEN ASSIGNED ** Use of TikaEncodingDetector in Apache Any23 can cause excessive memory usage.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-04-30 17:23 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://lists.apache.org/thread/713tk23khbtbg940p… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache Any23 |
Affected:
0 , ≤ 2.7
(semver)
|
guessed |
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2023-34150",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-04-30T17:23:32.772584Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2024-06-04T17:21:04.805Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
},
{
"providerMetadata": {
"dateUpdated": "2024-08-02T16:01:53.904Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"vendor-advisory",
"x_transferred"
],
"url": "https://lists.apache.org/thread/713tk23khbtbg940pb2ql8ggd4cvh6j1"
}
],
"title": "CVE Program Container"
}
],
"cna": {
"affected": [
{
"defaultStatus": "affected",
"product": "Apache Any23",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThanOrEqual": "2.7",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Liran Mendelovich"
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003e** UNSUPPORTED WHEN ASSIGNED **\u0026nbsp;\u003c/span\u003eUse of TikaEncodingDetector in Apache Any23 can cause excessive memory usage."
}
],
"value": "** UNSUPPORTED WHEN ASSIGNED **\u00a0Use of TikaEncodingDetector in Apache Any23 can cause excessive memory usage."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-20",
"description": "CWE-20 Improper Input Validation",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2023-07-14T08:51:48.453Z",
"orgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"shortName": "apache"
},
"references": [
{
"tags": [
"vendor-advisory"
],
"url": "https://lists.apache.org/thread/713tk23khbtbg940pb2ql8ggd4cvh6j1"
}
],
"source": {
"discovery": "EXTERNAL"
},
"tags": [
"unsupported-when-assigned"
],
"title": "Apache Any23: Possible excessive allocation of resources reading input.",
"x_generator": {
"engine": "Vulnogram 0.1.0-dev"
}
}
},
"cveMetadata": {
"assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"assignerShortName": "apache",
"cveId": "CVE-2023-34150",
"datePublished": "2023-07-05T07:28:35.592Z",
"dateReserved": "2023-05-28T15:27:56.797Z",
"dateUpdated": "2024-08-02T16:01:53.904Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2023-34150",
"date": "2026-10-07",
"epss": "0.01484",
"percentile": "0.73206"
},
"fkie_nvd": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:apache:any23:*:*:*:*:*:*:*:*",
"matchCriteriaId": "1EA4EA45-700E-415D-9FFC-02D287D13D79",
"versionEndIncluding": "2.7",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [
{
"sourceIdentifier": "security@apache.org",
"tags": [
"unsupported-when-assigned"
]
}
],
"descriptions": [
{
"lang": "en",
"value": "** UNSUPPORTED WHEN ASSIGNED **\u00a0Use of TikaEncodingDetector in Apache Any23 can cause excessive memory usage."
}
],
"id": "CVE-2023-34150",
"lastModified": "2024-11-21T08:06:39.420",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 2.5,
"source": "security@apache.org",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"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:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2023-07-05T08:15:09.143",
"references": [
{
"source": "security@apache.org",
"tags": [
"Mailing List",
"Vendor Advisory"
],
"url": "https://lists.apache.org/thread/713tk23khbtbg940pb2ql8ggd4cvh6j1"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mailing List",
"Vendor Advisory"
],
"url": "https://lists.apache.org/thread/713tk23khbtbg940pb2ql8ggd4cvh6j1"
}
],
"sourceIdentifier": "security@apache.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "security@apache.org",
"type": "Primary"
},
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"source": "nvd@nist.gov",
"type": "Secondary"
}
]
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"defaultStatus": "affected",
"product": "Apache Any23",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThanOrEqual": "2.7",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@apache.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:apache:any23:*:*:*:*:*:*:*:*",
"matchCriteriaId": "1EA4EA45-700E-415D-9FFC-02D287D13D79",
"versionEndIncluding": "2.7",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [
{
"sourceIdentifier": "security@apache.org",
"tags": [
"unsupported-when-assigned"
]
}
],
"descriptions": [
{
"lang": "en",
"value": "** UNSUPPORTED WHEN ASSIGNED **\u00a0Use of TikaEncodingDetector in Apache Any23 can cause excessive memory usage."
}
],
"id": "CVE-2023-34150",
"lastModified": "2026-06-17T06:03:00.330",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 2.5,
"source": "security@apache.org",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"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:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2023-34150",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-04-30T17:23:32.772584Z",
"version": "2.0.3"
}
}
]
},
"published": "2023-07-05T08:15:09.143",
"references": [
{
"source": "security@apache.org",
"tags": [
"Mailing List",
"Vendor Advisory"
],
"url": "https://lists.apache.org/thread/713tk23khbtbg940pb2ql8ggd4cvh6j1"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mailing List",
"Vendor Advisory"
],
"url": "https://lists.apache.org/thread/713tk23khbtbg940pb2ql8ggd4cvh6j1"
}
],
"sourceIdentifier": "security@apache.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "security@apache.org",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"source": "nvd@nist.gov",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2025-11-21T14:54:59+00:00",
"cve": "CVE-2023-34150",
"id": "CVE-2023-34150",
"initial_release_date": "2023-07-04T00:00:00+00:00",
"product_status:known_affected": "2",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "any23: possible excessive allocation of resources reading input",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2023/cve-2023-34150.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-02T16:01:53.904Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"vendor-advisory",
"x_transferred"
],
"url": "https://lists.apache.org/thread/713tk23khbtbg940pb2ql8ggd4cvh6j1"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2023-34150",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-04-30T17:23:32.772584Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2024-04-30T17:23:39.183Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "affected",
"product": "Apache Any23",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThanOrEqual": "2.7",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Liran Mendelovich"
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003e** UNSUPPORTED WHEN ASSIGNED **\u0026nbsp;\u003c/span\u003eUse of TikaEncodingDetector in Apache Any23 can cause excessive memory usage."
}
],
"value": "** UNSUPPORTED WHEN ASSIGNED **\u00a0Use of TikaEncodingDetector in Apache Any23 can cause excessive memory usage."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-20",
"description": "CWE-20 Improper Input Validation",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2023-07-14T08:51:48.453Z",
"orgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"shortName": "apache"
},
"references": [
{
"tags": [
"vendor-advisory"
],
"url": "https://lists.apache.org/thread/713tk23khbtbg940pb2ql8ggd4cvh6j1"
}
],
"source": {
"discovery": "EXTERNAL"
},
"tags": [
"unsupported-when-assigned"
],
"title": "Apache Any23: Possible excessive allocation of resources reading input.",
"x_generator": {
"engine": "Vulnogram 0.1.0-dev"
}
}
},
"cveMetadata": {
"assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"assignerShortName": "apache",
"cveId": "CVE-2023-34150",
"datePublished": "2023-07-05T07:28:35.592Z",
"dateReserved": "2023-05-28T15:27:56.797Z",
"dateUpdated": "2024-08-02T16:01:53.904Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…