| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.5 | $0-$5k | 0.00 |
Summary
A vulnerability was found in py-lmdb 0.97. It has been classified as critical. This affects an unknown part. The manipulation of the argument md_flags/mdb_node_add leads to memory corruption. This vulnerability is documented as CVE-2019-16224. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability, which was classified as critical, has been found in py-lmdb 0.97. This issue affects an unknown code block. The manipulation of the argument md_flags/mdb_node_add with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
An issue was discovered in py-lmdb 0.97. For certain values of md_flags, mdb_node_add does not properly set up a memcpy destination, leading to an invalid write operation.
The weakness was released 09/11/2019. The identification of this vulnerability is CVE-2019-16224 since 09/11/2019. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Entries connected to this vulnerability are available at VDB-141675, VDB-141674, VDB-141673 and VDB-141672. Be aware that VulDB is the high quality source for vulnerability data.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.5
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
09/11/2019 🔍09/11/2019 🔍
09/12/2019 🔍
12/19/2023 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2019-16224 (🔍)
GCVE (CVE): GCVE-0-2019-16224
GCVE (VulDB): GCVE-100-141671
See also: 🔍
Entry
Created: 09/12/2019 08:29Updated: 12/19/2023 11:25
Changes: 09/12/2019 08:29 (36), 08/21/2020 09:28 (17), 12/19/2023 11:25 (3)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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