libsixel 1.8.4 fromsixel.c image_buffer_resize release of resource
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in libsixel 1.8.4. Affected is the function image_buffer_resize of the file fromsixel.c. Performing a manipulation results in release of resource.
This vulnerability is known as CVE-2019-20023. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability was found in libsixel 1.8.4. It has been classified as problematic. This affects the function image_buffer_resize of the file fromsixel.c. The manipulation with an unknown input leads to a release of resource vulnerability. CWE is classifying the issue as CWE-772. The product does not release a resource after its effective lifetime has ended, i.e., after the resource is no longer needed. This is going to have an impact on availability. The summary by CVE is:
A memory leak was discovered in image_buffer_resize in fromsixel.c in libsixel 1.8.4.
The weakness was published 12/27/2019. This vulnerability is uniquely identified as CVE-2019-20023 since 12/27/2019. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. 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.
Similar entries are available at VDB-147796 and VDB-147794. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.4
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Release of resourceCWE: CWE-772 / CWE-400 / 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 |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
12/27/2019 🔍12/27/2019 🔍
12/27/2019 🔍
03/17/2024 🔍
Sources
Advisory: 120Status: Not defined
CVE: CVE-2019-20023 (🔍)
GCVE (CVE): GCVE-0-2019-20023
GCVE (VulDB): GCVE-100-147795
See also: 🔍
Entry
Created: 12/27/2019 09:04Updated: 03/17/2024 14:17
Changes: 12/27/2019 09:04 (36), 12/27/2019 09:09 (17), 03/17/2024 14:17 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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