Open Microscopy Environment OMERO.server up to 5.6.0 File Import Image File information disclosure
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Open Microscopy Environment OMERO.server up to 5.6.0. It has been rated as critical. This affects an unknown function of the component File Import. This manipulation as part of Image File causes information disclosure. This vulnerability is registered as CVE-2019-9944. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability classified as critical was found in Open Microscopy Environment OMERO.server up to 5.6.0. Affected by this vulnerability is an unknown function of the component File Import. The manipulation as part of a Image File leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
In Open Microscopy Environment OMERO.server 5.0.0 through 5.6.0, the reading of files from imported image filesets may circumvent OMERO permissions restrictions. This occurs because the Bio-Formats feature allows an image file to have embedded pathnames.
The weakness was published 06/17/2020 (Website). It is possible to read the advisory at openmicroscopy.org. This vulnerability is known as CVE-2019-9944 since 03/23/2019. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 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.
Similar entry is available at VDB-156834. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.4VulDB Meta Temp Score: 7.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Information disclosureCWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
03/23/2019 🔍06/17/2020 🔍
06/18/2020 🔍
10/24/2020 🔍
Sources
Advisory: openmicroscopy.orgStatus: Not defined
Confirmation: 🔍
CVE: CVE-2019-9944 (🔍)
GCVE (CVE): GCVE-0-2019-9944
GCVE (VulDB): GCVE-100-156835
See also: 🔍
Entry
Created: 06/18/2020 06:56Updated: 10/24/2020 20:47
Changes: 06/18/2020 06:56 (39), 06/18/2020 07:01 (17), 10/24/2020 20:47 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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