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CVE-2019-16226 (GCVE-0-2019-16226)
Vulnerability from cvelistv5 – Published: 2019-09-11 14:47 – Updated: 2024-08-05 01:10
VLAI
EPSS
Summary
An issue was discovered in py-lmdb 0.97. mdb_node_del does not validate a memmove in the case of an unexpected node->mn_hi, leading to an invalid write operation. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/TeamSeri0us/pocs/tree/master/l… | x_refsource_MISC |
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"lastModified": "2024-11-21T04:30:19.113",
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Title
Уязвимость функции mdb_node_del() модуля базы данных LMDB на языке Python py-lmdb, позволяющая нарушителю вызвать отказ в обслуживании
Description
Уязвимость функции mdb_node_del() модуля базы данных LMDB на языке Python py-lmdb связана с выходом операции за границы буфера в памяти при обработке файла data.mdb. Эксплуатация уязвимости позволяет нарушителю, действующему удаленно, вызвать отказ в обслуживании
Severity
Vendor
Сообщество свободного программного обеспечения
Software Name
py-lmdb
Software Version
до 0.97 включительно (py-lmdb)
Reference
Использование рекомендаций:
https://github.com/LMDB/lmdb/blob/mdb.master/libraries/liblmdb/mdb.c#L8443-L8498
https://github.com/jnwatson/py-lmdb/releases/tag/py-lmdb_0.98
https://github.com/jnwatson/py-lmdb/tags
CWE
CWE-787
{
"CVSS 2.0": "AV:N/AC:L/Au:N/C:N/I:N/A:C",
"CVSS 3.0": "AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"CVSS 4.0": null,
"remediation_\u0418\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440": null,
"remediation_\u041d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435": null,
"\u0412\u0435\u043d\u0434\u043e\u0440 \u041f\u041e": "\u0421\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432\u043e \u0441\u0432\u043e\u0431\u043e\u0434\u043d\u043e\u0433\u043e \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f",
"\u0412\u0435\u0440\u0441\u0438\u044f \u041f\u041e": "\u0434\u043e 0.97 \u0432\u043a\u043b\u044e\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e (py-lmdb)",
"\u0412\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0435 \u043c\u0435\u0440\u044b \u043f\u043e \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u044e": null,
"\u0414\u0430\u0442\u0430 \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u044f": "12.09.2019",
"\u0414\u0430\u0442\u0430 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0435\u0433\u043e \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u044f": "28.07.2023",
"\u0414\u0430\u0442\u0430 \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0438": "28.07.2023",
"\u0418\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440": "BDU:2023-04195",
"\u0418\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440\u044b \u0434\u0440\u0443\u0433\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0439 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "CVE-2019-16226",
"\u0418\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f \u043e\u0431 \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0430",
"\u041a\u043b\u0430\u0441\u0441 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u043a\u043e\u0434\u0430",
"\u041d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u041f\u041e": "py-lmdb",
"\u041d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435 \u041e\u0421 \u0438 \u0442\u0438\u043f \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b": null,
"\u041d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u0438 mdb_node_del() \u043c\u043e\u0434\u0443\u043b\u044f \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445 LMDB \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python py-lmdb, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0430\u044f \u043d\u0430\u0440\u0443\u0448\u0438\u0442\u0435\u043b\u044e \u0432\u044b\u0437\u0432\u0430\u0442\u044c \u043e\u0442\u043a\u0430\u0437 \u0432 \u043e\u0431\u0441\u043b\u0443\u0436\u0438\u0432\u0430\u043d\u0438\u0438",
"\u041d\u0430\u043b\u0438\u0447\u0438\u0435 \u044d\u043a\u0441\u043f\u043b\u043e\u0439\u0442\u0430": "\u0421\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u0432 \u043e\u0442\u043a\u0440\u044b\u0442\u043e\u043c \u0434\u043e\u0441\u0442\u0443\u043f\u0435",
"\u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043e\u0448\u0438\u0431\u043a\u0438 CWE": "\u0417\u0430\u043f\u0438\u0441\u044c \u0437\u0430 \u0433\u0440\u0430\u043d\u0438\u0446\u0430\u043c\u0438 \u0431\u0443\u0444\u0435\u0440\u0430 (CWE-787)",
"\u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u0438 mdb_node_del() \u043c\u043e\u0434\u0443\u043b\u044f \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445 LMDB \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python py-lmdb \u0441\u0432\u044f\u0437\u0430\u043d\u0430 \u0441 \u0432\u044b\u0445\u043e\u0434\u043e\u043c \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0437\u0430 \u0433\u0440\u0430\u043d\u0438\u0446\u044b \u0431\u0443\u0444\u0435\u0440\u0430 \u0432 \u043f\u0430\u043c\u044f\u0442\u0438 \u043f\u0440\u0438 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0435 \u0444\u0430\u0439\u043b\u0430 data.mdb. \u042d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u044f \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043d\u0430\u0440\u0443\u0448\u0438\u0442\u0435\u043b\u044e, \u0434\u0435\u0439\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u043c\u0443 \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e, \u0432\u044b\u0437\u0432\u0430\u0442\u044c \u043e\u0442\u043a\u0430\u0437 \u0432 \u043e\u0431\u0441\u043b\u0443\u0436\u0438\u0432\u0430\u043d\u0438\u0438",
"\u041f\u043e\u0441\u043b\u0435\u0434\u0441\u0442\u0432\u0438\u044f \u044d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u0438 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": null,
"\u041f\u0440\u043e\u0447\u0430\u044f \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f": "https://github.com/jnwatson/py-lmdb/issues/210\nhttps://github.com/TeamSeri0us/pocs/tree/master/lmdb/lmdb%20memory%20corruption%20vuln\nhttps://github.com/advisories/GHSA-r8g9-w4f3-9crm\nhttps://github.com/LMDB/lmdb/blob/mdb.master/libraries/liblmdb/mdb.c#L8443-L8498",
"\u0421\u0432\u044f\u0437\u044c \u0441 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u0430\u043c\u0438 \u0418\u0411": "\u0414\u0430\u043d\u043d\u044b\u0435 \u0443\u0442\u043e\u0447\u043d\u044f\u044e\u0442\u0441\u044f",
"\u0421\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d\u0430",
"\u0421\u043f\u043e\u0441\u043e\u0431 \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u044f": "\u041e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f",
"\u0421\u043f\u043e\u0441\u043e\u0431 \u044d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u0438": "\u041c\u0430\u043d\u0438\u043f\u0443\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445",
"\u0421\u0441\u044b\u043b\u043a\u0438 \u043d\u0430 \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0438": "\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0446\u0438\u0439:\nhttps://github.com/LMDB/lmdb/blob/mdb.master/libraries/liblmdb/mdb.c#L8443-L8498\nhttps://github.com/jnwatson/py-lmdb/releases/tag/py-lmdb_0.98\nhttps://github.com/jnwatson/py-lmdb/tags",
"\u0421\u0442\u0430\u0442\u0443\u0441 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u041f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0435\u043d\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0435\u043c",
"\u0422\u0438\u043f \u041f\u041e": "\u041f\u0440\u0438\u043a\u043b\u0430\u0434\u043d\u043e\u0435 \u041f\u041e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c",
"\u0422\u0438\u043f \u043e\u0448\u0438\u0431\u043a\u0438 CWE": "CWE-787",
"\u0423\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0412\u044b\u0441\u043e\u043a\u0438\u0439 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 (\u0431\u0430\u0437\u043e\u0432\u0430\u044f \u043e\u0446\u0435\u043d\u043a\u0430 CVSS 2.0 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 7,8)\n\u0412\u044b\u0441\u043e\u043a\u0438\u0439 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 (\u0431\u0430\u0437\u043e\u0432\u0430\u044f \u043e\u0446\u0435\u043d\u043a\u0430 CVSS 3.0 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 7,5)"
}
Title
py-lmdb缓冲区溢出漏洞(CNVD-2019-39376)
Description
py-lmdb是一款适用于Python的LMDB(一款嵌入式事务数据库)。
py-lmdb 0.97版本中存在缓冲区溢出漏洞。攻击者可利用该漏洞造成无效的写入操作。
Severity
中
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://github.com/jnwatson/py-lmdb
Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-16226
Impacted products
| Name | jnwatson py-lmdb 0.97 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2019-16226",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-16226"
}
},
"description": "py-lmdb\u662f\u4e00\u6b3e\u9002\u7528\u4e8ePython\u7684LMDB\uff08\u4e00\u6b3e\u5d4c\u5165\u5f0f\u4e8b\u52a1\u6570\u636e\u5e93\uff09\u3002\n\npy-lmdb 0.97\u7248\u672c\u4e2d\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u65e0\u6548\u7684\u5199\u5165\u64cd\u4f5c\u3002",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://github.com/jnwatson/py-lmdb",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2019-39376",
"openTime": "2019-11-06",
"products": {
"product": "jnwatson py-lmdb 0.97"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-16226",
"serverity": "\u4e2d",
"submitTime": "2019-09-12",
"title": "py-lmdb\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2019-39376\uff09"
}
FKIE_CVE-2019-16226
Vulnerability from fkie_nvd - Published: 2019-09-11 15:15 - Updated: 2024-11-21 04:30
Severity
Summary
An issue was discovered in py-lmdb 0.97. mdb_node_del does not validate a memmove in the case of an unexpected node->mn_hi, leading to an invalid write operation. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/TeamSeri0us/pocs/tree/master/lmdb/lmdb%20memory%20corruption%20vuln | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/TeamSeri0us/pocs/tree/master/lmdb/lmdb%20memory%20corruption%20vuln | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| py-lmdb_project | py-lmdb | * |
{
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:py-lmdb_project:py-lmdb:*:*:*:*:*:*:*:*",
"matchCriteriaId": "ECE3C9F2-3E04-4FC9-AB31-4AD1B4D8BA94",
"versionEndIncluding": "0.97",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "An issue was discovered in py-lmdb 0.97. mdb_node_del does not validate a memmove in the case of an unexpected node-\u003emn_hi, leading to an invalid write operation. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker."
},
{
"lang": "es",
"value": "Se detect\u00f3 un problema en py-lmdb versi\u00f3n 0.97. mdb_node_del no comprueba un memmove en el caso de un node-)mn_hi inesperado, conllevando a una operaci\u00f3n de escritura no v\u00e1lida. NOTA: este resultado se produce al acceder a un archivo data.mdb proporcionado por un atacante."
}
],
"id": "CVE-2019-16226",
"lastModified": "2024-11-21T04:30:19.113",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"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": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2019-09-11T15:15:11.420",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://github.com/TeamSeri0us/pocs/tree/master/lmdb/lmdb%20memory%20corruption%20vuln"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://github.com/TeamSeri0us/pocs/tree/master/lmdb/lmdb%20memory%20corruption%20vuln"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-787"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
GHSA-R8G9-W4F3-9CRM
Vulnerability from github – Published: 2022-05-24 16:55 – Updated: 2024-09-30 16:46
VLAI
Summary
LMDB invalid write
Details
An issue was discovered in py-lmdb 0.97. mdb_node_del does not validate a memmove in the case of an unexpected node->mn_hi, leading to an invalid write operation.
Severity
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "lmdb"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "0.97"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2019-16226"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": true,
"github_reviewed_at": "2023-07-17T22:49:02Z",
"nvd_published_at": "2019-09-11T15:15:00Z",
"severity": "HIGH"
},
"details": "An issue was discovered in py-lmdb 0.97. `mdb_node_del` does not validate a `memmove` in the case of an unexpected `node-\u003emn_hi`, leading to an invalid write operation.",
"id": "GHSA-r8g9-w4f3-9crm",
"modified": "2024-09-30T16:46:56Z",
"published": "2022-05-24T16:55:55Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-16226"
},
{
"type": "WEB",
"url": "https://github.com/jnwatson/py-lmdb/issues/210"
},
{
"type": "WEB",
"url": "https://github.com/LMDB/lmdb/blob/mdb.master/libraries/liblmdb/mdb.c#L8443-L8498"
},
{
"type": "WEB",
"url": "https://github.com/TeamSeri0us/pocs/tree/master/lmdb/lmdb%20memory%20corruption%20vuln"
},
{
"type": "PACKAGE",
"url": "https://github.com/jnwatson/py-lmdb"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/lmdb/PYSEC-2019-238.yaml"
},
{
"type": "WEB",
"url": "https://pypi.org/project/lmdb"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "LMDB invalid write "
}
GSD-2019-16226
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
An issue was discovered in py-lmdb 0.97. mdb_node_del does not validate a memmove in the case of an unexpected node->mn_hi, leading to an invalid write operation. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-16226",
"description": "An issue was discovered in py-lmdb 0.97. mdb_node_del does not validate a memmove in the case of an unexpected node-\u003emn_hi, leading to an invalid write operation. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.",
"id": "GSD-2019-16226",
"references": [
"https://www.suse.com/security/cve/CVE-2019-16226.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2019-16226"
],
"details": "An issue was discovered in py-lmdb 0.97. mdb_node_del does not validate a memmove in the case of an unexpected node-\u003emn_hi, leading to an invalid write operation. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.",
"id": "GSD-2019-16226",
"modified": "2023-12-13T01:23:40.466369Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"CVE_data_meta": {
"ASSIGNER": "cve@mitre.org",
"ID": "CVE-2019-16226",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
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}
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}
]
},
"problemtype": {
"problemtype_data": [
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"references": {
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"name": "https://github.com/TeamSeri0us/pocs/tree/master/lmdb/lmdb%20memory%20corruption%20vuln",
"refsource": "MISC",
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}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "==0.97",
"affected_versions": "Version 0.97",
"cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"cwe_ids": [
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"CWE-787",
"CWE-937"
],
"date": "2019-10-12",
"description": "An issue was discovered in py-lmdb. `mdb_node_del` does not validate a memmove in the case of an unexpected `node-\u003emn_hi`, leading to an invalid write operation. NOTE: this outcome occurs when accessing a `data.mdb` file supplied by an attacker.",
"fixed_versions": [],
"identifier": "CVE-2019-16226",
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"package_slug": "pypi/lmdb",
"pubdate": "2019-09-11",
"solution": "Unfortunately, there is no solution available yet.",
"title": "Missing validation",
"urls": [
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],
"uuid": "d7b6f1de-4230-4a51-9e86-c9e74b4b95ab"
}
]
},
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},
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"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
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"obtainOtherPrivilege": false,
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},
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"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
}
},
"lastModifiedDate": "2020-09-14T15:21Z",
"publishedDate": "2019-09-11T15:15Z"
}
}
}
OPENSUSE-SU-2026:10430-1
Vulnerability from csaf_opensuse - Published: 2026-03-25 00:00 - Updated: 2026-03-25 00:00Summary
python311-lmdb-2.1.1-1.1 on GA media
Severity
Moderate
Notes
Title of the patch: python311-lmdb-2.1.1-1.1 on GA media
Description of the patch: These are all security issues fixed in the python311-lmdb-2.1.1-1.1 package on the GA media of openSUSE Tumbleweed.
Patchnames: openSUSE-Tumbleweed-2026-10430
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
9.8 (Critical)
Affected products
Recommended
8 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
important
9.8 (Critical)
Affected products
Recommended
8 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
important
7.5 (High)
Affected products
Recommended
8 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
moderate
9.8 (Critical)
Affected products
Recommended
8 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
important
7.5 (High)
Affected products
Recommended
8 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-lmdb-2.1.1-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-lmdb-2.1.1-1.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
moderate
References
16 references
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{
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"text": "An issue was discovered in py-lmdb 0.97. For certain values of mp_flags, mdb_page_touch does not properly set up mc-\u003emc_pg[mc-\u003etop], leading to an invalid write operation. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.",
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],
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{
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{
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"text": "An issue was discovered in py-lmdb 0.97. mdb_node_del does not validate a memmove in the case of an unexpected node-\u003emn_hi, leading to an invalid write operation. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.",
"title": "CVE description"
}
],
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"summary": "CVE-2019-16226",
"url": "https://www.suse.com/security/cve/CVE-2019-16226"
},
{
"category": "external",
"summary": "SUSE Bug 1160861 for CVE-2019-16226",
"url": "https://bugzilla.suse.com/1160861"
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{
"category": "vendor_fix",
"details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n",
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"baseSeverity": "HIGH",
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"details": "moderate"
}
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},
{
"cve": "CVE-2019-16227",
"ids": [
{
"system_name": "SUSE CVE Page",
"text": "https://www.suse.com/security/cve/CVE-2019-16227"
}
],
"notes": [
{
"category": "general",
"text": "An issue was discovered in py-lmdb 0.97. For certain values of mn_flags, mdb_cursor_set triggers a memcpy with an invalid write operation within mdb_xcursor_init1. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.",
"title": "CVE description"
}
],
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},
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"category": "external",
"summary": "CVE-2019-16227",
"url": "https://www.suse.com/security/cve/CVE-2019-16227"
}
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{
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"details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n",
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}
],
"scores": [
{
"cvss_v3": {
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"baseSeverity": "CRITICAL",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
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{
"category": "general",
"text": "An issue was discovered in py-lmdb 0.97. There is a divide-by-zero error in the function mdb_env_open2 if mdb_env_read_header obtains a zero value for a certain size field. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.",
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}
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}
]
}
PYSEC-2019-238
Vulnerability from pysec - Published: 2019-09-11 15:15 - Updated: 2021-12-14 08:17
VLAI
Details
An issue was discovered in py-lmdb 0.97. mdb_node_del does not validate a memmove in the case of an unexpected node->mn_hi, leading to an invalid write operation. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.
Impacted products
| Name | purl | lmdb | pkg:pypi/lmdb |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "lmdb",
"purl": "pkg:pypi/lmdb"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.98"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.58",
"0.59",
"0.60",
"0.61",
"0.62",
"0.63",
"0.64",
"0.65",
"0.66",
"0.67",
"0.68",
"0.69",
"0.70",
"0.71",
"0.73",
"0.74",
"0.75",
"0.76",
"0.77",
"0.78",
"0.79",
"0.80",
"0.81",
"0.82",
"0.83",
"0.84",
"0.85",
"0.86",
"0.87",
"0.88",
"0.89",
"0.91",
"0.92",
"0.93",
"0.94",
"0.95",
"0.96",
"0.97"
]
}
],
"aliases": [
"CVE-2019-16226"
],
"details": "An issue was discovered in py-lmdb 0.97. mdb_node_del does not validate a memmove in the case of an unexpected node-\u003emn_hi, leading to an invalid write operation. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.",
"id": "PYSEC-2019-238",
"modified": "2021-12-14T08:17:08.339672Z",
"published": "2019-09-11T15:15:00Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/TeamSeri0us/pocs/tree/master/lmdb/lmdb%20memory%20corruption%20vuln"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/lmdb"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-16226"
}
]
}
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Trend slope:
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(linear fit over daily sighting counts)
Show additional events:
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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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