CVE-2021-47564 (GCVE-0-2021-47564)
Vulnerability from cvelistv5 – Published: 2024-05-24 15:12 – Updated: 2026-05-11 13:57
VLAI
EPSS
VEX
Title
net: marvell: prestera: fix double free issue on err path
Summary
In the Linux kernel, the following vulnerability has been resolved:
net: marvell: prestera: fix double free issue on err path
fix error path handling in prestera_bridge_port_join() that
cases prestera driver to crash (see below).
Trace:
Internal error: Oops: 96000044 [#1] SMP
Modules linked in: prestera_pci prestera uio_pdrv_genirq
CPU: 1 PID: 881 Comm: ip Not tainted 5.15.0 #1
pstate: 60000005 (nZCv daif -PAN -UAO -TCO -DIT -SSBS BTYPE=--)
pc : prestera_bridge_destroy+0x2c/0xb0 [prestera]
lr : prestera_bridge_port_join+0x2cc/0x350 [prestera]
sp : ffff800011a1b0f0
...
x2 : ffff000109ca6c80 x1 : dead000000000100 x0 : dead000000000122
Call trace:
prestera_bridge_destroy+0x2c/0xb0 [prestera]
prestera_bridge_port_join+0x2cc/0x350 [prestera]
prestera_netdev_port_event.constprop.0+0x3c4/0x450 [prestera]
prestera_netdev_event_handler+0xf4/0x110 [prestera]
raw_notifier_call_chain+0x54/0x80
call_netdevice_notifiers_info+0x54/0xa0
__netdev_upper_dev_link+0x19c/0x380
Severity
No CVSS data available.
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-05-24 17:03 UTC
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
e1189d9a5fbec8153dbe03f3589bc2baa96694e2 , < 5dca8eff4627315df98feec09fff9dfe3356325e
(git)
Affected: e1189d9a5fbec8153dbe03f3589bc2baa96694e2 , < 03e5203d2161a00afe4d97d206d2293e40b2f253 (git) Affected: e1189d9a5fbec8153dbe03f3589bc2baa96694e2 , < e8d032507cb7912baf1d3e0af54516f823befefd (git) |
guessed | |
| Linux | Linux |
Affected:
5.10
Unaffected: 0 , < 5.10 (semver) Unaffected: 5.10.83 , ≤ 5.10.* (semver) Unaffected: 5.15.6 , ≤ 5.15.* (semver) Unaffected: 5.16 , ≤ * (original_commit_for_fix) |
guessed |
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}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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