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CVE Record

CVE-2023-36824: Heap overflow in COMMAND GETKEYS and ACL evaluation in Redis

Redis is an in-memory database that persists on disk. In Redit 7.0 prior to 7.0.12, extracting key names from a command and a list of arguments may, in some cases, trigger a heap overflow and result in reading random heap memory, heap corruption and potentially remote code execution. Several scenarios that may lead to authenticated users executing a specially crafted `COMMAND GETKEYS` or `COMMAND GETKEYSANDFLAGS`and authenticated users who were set with ACL rules that match key names, executing a specially crafted command that refers to a variadic list of key names. The vulnerability is patched in Redis 7.0.12.

HighCVSS 7.4Not KEV-listedUpdated
Glexia's TakeAutomated analysishigh

Security readout for executives and security teams

Plain-English summary

Redis 7.0.0 through 7.0.11 has a heap overflow in key-name extraction used by COMMAND GETKEYS, COMMAND GETKEYSANDFLAGS, and some ACL checks. A successful attack could expose memory, corrupt Redis, or potentially execute code. The source bundle states Redis 7.0.12 patches it.

Executive priority

Prioritize remediation for production Redis 7.0 systems that support critical services, shared tenants, or broad internal access. The issue has high potential impact, but source evidence does not show confirmed exploitation. Patch during the next urgent maintenance window, faster for exposed or multi-user environments.

Technical view

The issue is a heap overflow in Redis command key extraction and ACL evaluation for variadic key-name handling. The described paths involve authenticated users issuing crafted key-inspection commands or commands subject to ACL key-name matching. The cited impact includes random heap memory reads, heap corruption, and possible remote code execution.

Likely exposure

Exposure is most relevant to Redis 7.0.x deployments before 7.0.12, especially where authenticated users, applications, or service accounts are less trusted or broadly permitted. Redis instances embedded in vendor products should be checked against vendor advisories.

Exploitation context

The provided sources do not establish active exploitation, and KEV is false. The advisory describes authenticated command scenarios with high complexity conditions. Treat internet-exposed or shared Redis environments as higher priority because valid credentials or overbroad application access can change business risk.

Researcher notes

Do not assume unauthenticated exploitation from the supplied bundle. Focus validation on version range, command permissions, ACL key-pattern usage, and Redis exposure boundaries. The CVSS vector and description should be reconciled with local threat modeling because the text emphasizes authenticated command execution.

Mitigation direction

  • Upgrade Redis 7.0 deployments to 7.0.12 or later.
  • Check OS or vendor package advisories for backported fixes.
  • Review Redis ACLs and reduce broad command/key access where practical.
  • Restrict Redis network access to trusted application paths only.
  • Check affected vendor appliances against their published advisories.

Validation and detection

  • Inventory Redis versions and flag 7.0.0 through 7.0.11.
  • Confirm package build includes the Redis 7.0.12 fix or vendor backport.
  • Review authenticated users allowed to run key-inspection or broad variadic-key commands.
  • Verify Redis is not reachable from untrusted networks.
  • Check vendor advisories for embedded Redis exposure status.
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

Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.

cwe · low confidence lookup

CWE-122: Exact CWE lookup

Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.

Open ATT&CK lookup
cwe · low confidence lookup

CWE-131: Exact CWE lookup

Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.

Open ATT&CK lookup
description · low confidence lookup

Execution behavior lookup

The CVE wording references code or command execution, so execution technique review may help defensive triage. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.

Open ATT&CK lookup
description · low confidence lookup

Database behavior lookup

The CVE wording references database injection or access, so collection and exfiltration review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.

Open ATT&CK lookup
cve · low confidence lookup

CVE-2023-36824 mapping review

Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.

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Vulnerability profileCVE Program record
Severity
High
CVSS
7.4 (3.1)
Known Exploited
No
Published

Vector: CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:H/I:H/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
7.4CVSS 3.1HighCVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H1.45.9Primary CVE score

Vulnerability scoring details

Base CVSS 3.1 score

7.4High
CVSS 3.1 vector shape for CVE-2023-36824Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

Vector: CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:H/I:H/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
Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
redisredis>= 7.0.0, < 7.0.12Listed
Weakness

CWE details

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

CWE-122 · source CWE mapping

Heap-based Buffer Overflow

Heap-based Buffer Overflow represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.

CWE-131 · source CWE mapping

Incorrect Calculation of Buffer Size

Incorrect Calculation of Buffer Size represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.