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CVE Record

CVE-2021-28715: Guest can force Linux netback driver to hog large amounts of kernel memory T[his CNA information record rel...

Guest can force Linux netback driver to hog large amounts of kernel memory T[his CNA information record relates to multiple CVEs; the text explains which aspects/vulnerabilities correspond to which CVE.] Incoming data packets for a guest in the Linux kernel's netback driver are buffered until the guest is ready to process them. There are some measures taken for avoiding to pile up too much data, but those can be bypassed by the guest: There is a timeout how long the client side of an interface can stop consuming new packets before it is assumed to have stalled, but this timeout is rather long (60 seconds by default). Using a UDP connection on a fast interface can easily accumulate gigabytes of data in that time. (CVE-2021-28715) The timeout could even never trigger if the guest manages to have only one free slot in its RX queue ring page and the next package would require more than one free slot, which may be the case when using GSO, XDP, or software hashing. (CVE-2021-28714)

MediumCVSS 6.5Not KEV-listedUpdated
Glexia's TakeAutomated analysismoderate

Security readout for executives and security teams

Plain-English summary

A guest virtual machine can make a Linux Xen network backend consume excessive host kernel memory. The business impact is denial of service: a vulnerable virtualization host may become unstable or unavailable if an authorized guest triggers the condition.

Executive priority

Treat this as a virtualization availability risk. It is not described as remotely exploitable from the internet, but it matters where guests are customer-controlled or less trusted. Patch during the next urgent virtualization maintenance window.

Technical view

CVE-2021-28715 affects the Linux netback driver used with Xen networking. Incoming packets are buffered until the guest consumes them. Existing limits can be bypassed because the default stall timeout is long, allowing large memory buildup under fast UDP traffic.

Likely exposure

Exposure is most likely on Xen virtualization hosts using Linux as the network backend for guests, especially where guests are untrusted, tenant-controlled, or network-heavy. Ordinary Linux systems not acting as Xen netback hosts are not indicated by the supplied sources.

Exploitation context

The source bundle does not show CISA KEV listing or active exploitation. The described attack requires guest access and targets availability by exhausting host kernel memory, not confidentiality or integrity.

Researcher notes

This CVE is part of Xen advisory XSA-392 and is distinct from CVE-2021-28714. The supplied text ties CVE-2021-28715 to memory buildup during the 60-second default receive stall timeout.

Mitigation direction

  • Review Xen XSA-392 and your Linux distribution advisory for affected kernel versions.
  • Apply vendor kernel security updates, including relevant Debian DSA or DLA packages where applicable.
  • Prioritize multi-tenant Xen hosts and hosts running untrusted guest workloads.
  • If patches are unavailable, follow vendor guidance for temporary mitigations.
  • Plan reboots or live-migration workflows needed to activate updated kernels.

Validation and detection

  • Inventory Xen hosts using Linux netback for guest networking.
  • Compare running kernel versions against Xen XSA-392 and distribution advisories.
  • Verify Debian systems include fixes from DSA-5050, DSA-5096, or relevant DLA updates.
  • Check host monitoring for unusual kernel memory pressure during guest network activity.
  • Confirm vulnerable or unsupported kernels are removed from production pools.
Prepared
Confidence
high
Sources
7

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Potential ATT&CK relevance

Conservative CVE-to-ATT&CK context

These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.

ATT&CK lookup starting points

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cwe · low confidence lookup

CWE-770: Exact CWE lookup

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cve · low confidence lookup

CVE-2021-28715 mapping review

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Vulnerability profileCVE Program record
Severity
Medium
CVSS
6.5 (3.1)
Known Exploited
No
Published

Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:N/I:N/A:H

Official CVE source material

CNA and ADP enrichment extracted from CVE v5

These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.

1CVSS vectors
0Timeline events
0ADP providers
6Source links

CVSS vector scores

1 official score

We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.

ScoreVersionSeverityVectorExploitImpactSource
6.5CVSS 3.1MediumCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:N/I:N/A:H24Primary CVE score

Vulnerability scoring details

Base CVSS 3.1 score

6.5Medium
CVSS 3.1 vector shape for CVE-2021-28715Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:N/I:N/A:H

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Privileges Required
NoneLowHigh
User Interaction
NoneRequired
Scope
ChangedUnchanged
Confidentiality Impact
HighLowNone
Integrity Impact
HighLowNone
Availability Impact
HighLowNone

Source materials

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
LinuxLinuxconsult Xen advisory XSA-392Listed
Weakness

CWE details

CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.

CWE-770 · source CWE mapping

Allocation of Resources Without Limits or Throttling

Allocation of Resources Without Limits or Throttling represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.