GSD-2018-1000654
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
GNU Libtasn1-4.13 libtasn1-4.13 version libtasn1-4.13, libtasn1-4.12 contains a DoS, specifically CPU usage will reach 100% when running asn1Paser against the POC due to an issue in _asn1_expand_object_id(p_tree), after a long time, the program will be killed. This attack appears to be exploitable via parsing a crafted file.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-1000654",
"description": "GNU Libtasn1-4.13 libtasn1-4.13 version libtasn1-4.13, libtasn1-4.12 contains a DoS, specifically CPU usage will reach 100% when running asn1Paser against the POC due to an issue in _asn1_expand_object_id(p_tree), after a long time, the program will be killed. This attack appears to be exploitable via parsing a crafted file.",
"id": "GSD-2018-1000654",
"references": [
"https://www.suse.com/security/cve/CVE-2018-1000654.html",
"https://advisories.mageia.org/CVE-2018-1000654.html",
"https://ubuntu.com/security/CVE-2018-1000654"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2018-1000654"
],
"details": "GNU Libtasn1-4.13 libtasn1-4.13 version libtasn1-4.13, libtasn1-4.12 contains a DoS, specifically CPU usage will reach 100% when running asn1Paser against the POC due to an issue in _asn1_expand_object_id(p_tree), after a long time, the program will be killed. This attack appears to be exploitable via parsing a crafted file.",
"id": "GSD-2018-1000654",
"modified": "2023-12-13T01:22:27.810372Z",
"schema_version": "1.4.0"
}
},
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"ASSIGNER": "cve@mitre.org",
"DATE_ASSIGNED": "2018-08-19T17:09:33.126155",
"DATE_REQUESTED": "2018-08-12T23:08:51",
"ID": "CVE-2018-1000654",
"REQUESTER": "situlingyun@gmail.com",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
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}
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"references": {
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"name": "https://gitlab.com/gnutls/libtasn1/issues/4",
"refsource": "CONFIRM",
"url": "https://gitlab.com/gnutls/libtasn1/issues/4"
},
{
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"url": "http://www.securityfocus.com/bid/105151"
},
{
"name": "openSUSE-SU-2019:1498",
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"url": "http://lists.opensuse.org/opensuse-security-announce/2019-06/msg00009.html"
},
{
"name": "openSUSE-SU-2019:1510",
"refsource": "SUSE",
"url": "http://lists.opensuse.org/opensuse-security-announce/2019-06/msg00018.html"
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{
"name": "[mina-dev] 20210225 [jira] [Created] (FTPSERVER-500) Security vulnerability in common/lib/log4j-1.2.17.jar",
"refsource": "MLIST",
"url": "https://lists.apache.org/thread.html/rf9fa47ab66495c78bb4120b0754dd9531ca2ff0430f6685ac9b07772@%3Cdev.mina.apache.org%3E"
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"nvd.nist.gov": {
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"nodes": [
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"cpe_match": [
{
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"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:gnu:libtasn1:4.13:*:*:*:*:*:*:*",
"cpe_name": [],
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}
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"refsource": "CONFIRM",
"tags": [
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"url": "https://gitlab.com/gnutls/libtasn1/issues/4"
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{
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{
"name": "[mina-dev] 20210225 [jira] [Created] (FTPSERVER-500) Security vulnerability in common/lib/log4j-1.2.17.jar",
"refsource": "MLIST",
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.1,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"version": "3.0"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2021-02-25T17:15Z",
"publishedDate": "2018-08-20T19:31Z"
}
}
}
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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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