HDF5 up to 1.10.3 H5Dselect.c H5D__select_io divide by zero
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.9 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in HDF5 up to 1.10.3. Affected by this vulnerability is the function H5D__select_io of the file H5Dselect.c. Performing a manipulation results in divide by zero.
This vulnerability was named CVE-2018-17438. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability classified as problematic has been found in HDF5 up to 1.10.3 (Database Software). This affects the function H5D__select_io of the file H5Dselect.c. The manipulation with an unknown input leads to a divide by zero vulnerability. CWE is classifying the issue as CWE-369. The product divides a value by zero. This is going to have an impact on availability. The summary by CVE is:
A SIGFPE signal is raised in the function H5D__select_io() of H5Dselect.c in the HDF HDF5 through 1.10.3 library during an attempted parse of a crafted HDF file, because of incorrect protection against division by zero. It could allow a remote denial of service attack.
The bug was discovered 09/24/2018. The weakness was presented 09/24/2018 (Website). It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2018-17438 since 09/24/2018. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
See VDB-124444, VDB-124442, VDB-124441 and VDB-124440 for similar entries. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
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: Divide by zeroCWE: CWE-369 / 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: 🔍
0-Day Time: 🔍
Timeline
09/24/2018 🔍09/24/2018 🔍
09/24/2018 🔍
09/24/2018 🔍
09/25/2018 🔍
03/27/2020 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2018-17438 (🔍)
GCVE (CVE): GCVE-0-2018-17438
GCVE (VulDB): GCVE-100-124443
See also: 🔍
Entry
Created: 09/25/2018 12:44Updated: 03/27/2020 08:18
Changes: 09/25/2018 12:44 (57), 03/27/2020 08:18 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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