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CVE Record

CVE-2018-17450: An issue was discovered in GitLab Community and Enterprise Edition before 11.1.7, 11.2.x before 11.2.4, and...

An issue was discovered in GitLab Community and Enterprise Edition before 11.1.7, 11.2.x before 11.2.4, and 11.3.x before 11.3.1. There is Server-Side Request Forgery (SSRF) via the Kubernetes integration, leading (for example) to disclosure of a GCP service token.

MediumCVSS 4.3Not KEV-listedUpdated
Glexia's TakeAutomated analysismoderate

Security readout for executives and security teams

Plain-English summary

CVE-2018-17450 is an SSRF flaw in older GitLab Community and Enterprise Edition releases. A logged-in attacker could abuse the Kubernetes integration to make GitLab request internal resources, with token disclosure cited as an example. Business urgency is moderate, especially for GitLab instances connected to Kubernetes or Google Cloud.

Executive priority

Treat as a moderate remediation item. Prioritize internet-accessible or cloud-integrated GitLab systems, because the business risk is credential exposure rather than broad system takeover. Absence from KEV lowers urgency, but affected production instances should still be upgraded promptly.

Technical view

The flaw is CWE-918 SSRF in GitLab CE/EE before 11.1.7, 11.2.x before 11.2.4, and 11.3.x before 11.3.1. CVSS 3.1 is 4.3: network reachable, low complexity, low privileges required, no user interaction, low confidentiality impact, no integrity or availability impact stated.

Likely exposure

Exposure is most relevant to self-managed GitLab CE/EE instances running the affected version ranges with Kubernetes integration configured. The source bundle does not identify affected CPEs or cloud deployment specifics, so teams should validate actual GitLab version and integration usage rather than assuming exposure.

Exploitation context

The CVE is not listed as KEV in the provided data, and the source bundle does not cite active exploitation. Exploitation requires at least low privileges. Impact centers on unauthorized server-side requests and possible disclosure of sensitive cloud service tokens, including the cited GCP service token example.

Researcher notes

The public data supports SSRF through the Kubernetes integration and possible GCP token disclosure, but does not provide detailed exploit conditions, affected CPEs, or observed exploitation. Validation should focus on version range, enabled integration paths, cloud token exposure, and confirmation that fixed GitLab releases are deployed.

Mitigation direction

  • Upgrade GitLab CE/EE to 11.1.7, 11.2.4, 11.3.1, or later supported releases.
  • Review GitLab's 2018-10-01 security release guidance for the fixed release path.
  • Audit Kubernetes integration settings on any affected GitLab instance.
  • Review exposed cloud service tokens and rotate any credentials suspected of disclosure.

Validation and detection

  • Inventory all self-managed GitLab CE/EE versions.
  • Identify instances in the affected version ranges.
  • Confirm whether Kubernetes integration is enabled on those instances.
  • Verify upgrade status against fixed GitLab releases.
  • Review logs and cloud audit trails for unexpected metadata or token access.
Prepared
Confidence
high
Sources
4

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 · medium confidence lookup

CWE-918: Information exposure and cloud metadata lookup

Information exposure and SSRF weaknesses can make discovery, cloud metadata, and credential material review relevant. 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

Credential and access behavior lookup

The CVE wording references authentication or credential exposure, so valid-account and credential-access review may help. 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

Cloud metadata behavior lookup

The CVE wording references SSRF or metadata access, so cloud discovery and credential material review may help. 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

Container behavior lookup

The affected technology mentions containers, so container-specific ATT&CK technique 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-2018-17450 mapping review

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

Open ATT&CK lookup
Vulnerability profileCVE Program record
Severity
Medium
CVSS
4.3 (3.1)
Known Exploited
No
Published

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

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
3Source 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
4.3CVSS 3.1MediumCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N2.81.4Primary CVE score

Vulnerability scoring details

Base CVSS 3.1 score

4.3Medium
CVSS 3.1 vector shape for CVE-2018-17450Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

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

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
n/an/an/aListed
Weakness

CWE details

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

CWE-918 · source CWE mapping

Server-Side Request Forgery (SSRF)

Server-Side Request Forgery (SSRF) represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.