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CVE Record

CVE-2022-42009: Apache Ambari: A malicious authenticated user can remotely execute arbitrary code in the context of the application.

SpringEL injection in the server agent in Apache Ambari version 2.7.0 to 2.7.6 allows a malicious authenticated user to execute arbitrary code remotely. Users are recommended to upgrade to 2.7.7.

HighCVSS 8Not KEV-listedUpdated
Glexia's TakeAutomated analysishigh

Security readout for executives and security teams

Plain-English summary

CVE-2022-42009 lets a logged-in malicious user run arbitrary code through Apache Ambari’s server agent. This is high risk because successful exploitation can affect confidentiality, integrity, and availability of the Ambari application. The cited sources recommend upgrading affected Apache Ambari 2.7.0 through 2.7.6 systems to 2.7.7.

Executive priority

Treat this as a high-priority remediation for any Ambari deployment. It is not described as unauthenticated or actively exploited in the provided sources, but authenticated code execution can materially affect platform control and business operations.

Technical view

The issue is a Spring Expression Language injection, classified as CWE-917, in Apache Ambari’s server agent. The CVSS 3.1 score is 8.0 with network attack vector, low complexity, low privileges, and user interaction required. Code execution occurs in the context of the application.

Likely exposure

Exposure is likely limited to organizations running Apache Ambari 2.7.0 through 2.7.6 where authenticated users can reach Ambari functionality tied to the server agent. Internet exposure increases urgency, but authentication is required according to the CVSS vector.

Exploitation context

The bundle does not show CISA KEV listing or cited evidence of active exploitation. The vulnerability is still serious because it allows authenticated remote code execution with high confidentiality, integrity, and availability impact.

Researcher notes

Key constraints are authenticated access and user interaction per CVSS. Sources provide the vulnerability class, affected range, and upgrade target, but not detailed exploit conditions, indicators of compromise, or alternate mitigations.

Mitigation direction

  • Upgrade affected Apache Ambari deployments to version 2.7.7.
  • Check the Apache advisory for current vendor guidance.
  • Limit Ambari access to trusted users and management networks.
  • Review Ambari user accounts and remove unnecessary access.
  • Monitor Ambari systems for suspicious authenticated activity.

Validation and detection

  • Inventory all Apache Ambari instances and record exact versions.
  • Confirm no production instance remains on 2.7.0 through 2.7.6.
  • Verify the upgrade to Apache Ambari 2.7.7 completed successfully.
  • Review authentication and authorization settings for Ambari users.
  • Check security logs for unusual authenticated actions around Ambari.
Prepared
Confidence
high
Sources
3

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-917: Exact CWE lookup

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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.

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cve · low confidence lookup

CVE-2022-42009 mapping review

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Vulnerability profileCVE Program record
Severity
High
CVSS
8 (3.1)
Known Exploited
No
Published

Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/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
2Source 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
8CVSS 3.1HighCVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H2.15.9Primary CVE score

Vulnerability scoring details

Base CVSS 3.1 score

8High
CVSS 3.1 vector shape for CVE-2022-42009Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/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

Source materials

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
Apache Software FoundationApache Ambari2.7.0unaffected
Weakness

CWE details

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

CWE-917 · source CWE mapping

Improper Neutralization of Special Elements used in an Expression Language Statement ('Expression Language Injection')

Improper Neutralization of Special Elements used in an Expression Language Statement ('Expression Language Injection') represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.