HDF HDF5 1.10.2 H5Shyper.c H5S_hyper_make_spans null pointer dereference
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.9 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in HDF HDF5 1.10.2. Affected by this issue is the function H5S_hyper_make_spans of the file H5Shyper.c. This manipulation causes null pointer dereference.
This vulnerability is handled as CVE-2018-11202. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability classified as problematic was found in HDF HDF5 1.10.2 (Database Software). Affected by this vulnerability is the function H5S_hyper_make_spans of the file H5Shyper.c. The manipulation with an unknown input leads to a null pointer dereference vulnerability. The CWE definition for the vulnerability is CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. As an impact it is known to affect availability. The summary by CVE is:
A NULL pointer dereference was discovered in H5S_hyper_make_spans in H5Shyper.c in the HDF HDF5 1.10.2 library. It could allow a remote denial of service attack.
The bug was discovered 05/16/2018. The weakness was released 05/16/2018 (Website). It is possible to read the advisory at github.com. This vulnerability is known as CVE-2018-11202 since 05/16/2018. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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-117812, VDB-117813, VDB-117814 and VDB-117815. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.9
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Null pointer dereferenceCWE: CWE-476 / CWE-404
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 |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
Timeline
05/16/2018 🔍05/16/2018 🔍
05/16/2018 🔍
05/16/2018 🔍
05/16/2018 🔍
02/06/2020 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2018-11202 (🔍)
GCVE (CVE): GCVE-0-2018-11202
GCVE (VulDB): GCVE-100-117811
See also: 🔍
Entry
Created: 05/16/2018 22:20Updated: 02/06/2020 08:13
Changes: 05/16/2018 22:20 (58), 02/06/2020 08:13 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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