Security Resilience

CVE-2023-31413

Info Disclosure in Elastic Filebeat ≤ 7.17.9

Published
04 May 2023
Modified
29 January 2025
Patch / advisory
CVSS Score v3.1 3.3
Click a component to see what it means
Raw vectorCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
EPSS Score 0.0020 9th percentile
Risk Priority 28 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2023-31413 is a low-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Elastic Filebeat. Its CVSS base score is 3.3 (Low).

Operationally, exploitation aligns with the MITRE ATT&CK technique LSASS Memory (T1003.001); ranked at the 9th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Filebeat versions through 7.17.9 and 8.6.2 have a flaw in httpjson input that allows the http request Authorization or Proxy-Authorization header contents to be leaked in the logs when debug logging is enabled.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1003.001 LSASS Memory Credential Access
Adversaries may attempt to access credential material stored in the process memory of the Local Security Authority Subsystem Service (LSASS).
T1003.002 Security Account Manager Credential Access
Adversaries may attempt to extract credential material from the Security Account Manager (SAM) database either through in-memory techniques or through the Windows Registry where the SAM database is stored.
T1003.004 LSA Secrets Credential Access
Adversaries with SYSTEM access to a host may attempt to access Local Security Authority (LSA) secrets, which can contain a variety of different credential materials, such as credentials for service accounts.
T1003.008 /etc/passwd and /etc/shadow Credential Access
Adversaries may attempt to dump the contents of <code>/etc/passwd</code> and <code>/etc/shadow</code> to enable offline password cracking.
T1005 Data from Local System Collection
Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.
T1011.001 Exfiltration Over Bluetooth Exfiltration
Adversaries may attempt to exfiltrate data over Bluetooth rather than the command and control channel.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-46668Same vendor: Elastic
CVE-2024-37283Same vendor: Elastic
CVE-2023-46675Same vendor: Elastic
CVE-2023-6687Same vendor: Elastic
CVE-2023-49921Same vendor: Elastic
CVE-2023-49923Same vendor: Elastic
CVE-2024-23448Same vendor: Elastic
CVE-2023-49922Same vendor: Elastic
CVE-2023-31417Same vendor: Elastic
CVE-2026-49088Same vendor: Elastic

Affected Assets

elastic
filebeat
8.6.2 · ≤ 7.17.9

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-200 CWE-532

Monitoring directly detects unauthorized disclosure of sensitive information, enabling response to exposures.

addresses: CWE-200 CWE-532

Coordinating audit logging across organizational boundaries reduces the risk of sensitive audit data being exposed to unauthorized actors during transmission.

addresses: CWE-200 CWE-532

A data action map identifies locations where sensitive information may be exposed to unauthorized actors during processing or transfer.

addresses: CWE-200 CWE-532

The control's identification, isolation, alerting, and eradication steps directly limit the impact and exploitation window of unauthorized sensitive information exposure.

addresses: CWE-200 CWE-532

Requiring organization-defined processing conditions on specific PII categories directly reduces the chance that personal data will be exposed to unauthorized actors.

addresses: CWE-200 CWE-532

The assessment process surfaces design decisions that could expose sensitive (including PII) data to unauthorized actors, prompting controls that reduce such exposure.

addresses: CWE-200 CWE-532

Directly prevents exposure of critical organizational information by applying OPSEC processes across the SDLC.

addresses: CWE-200 CWE-532

Filtering output to only permitted content stops unintended disclosure of sensitive information to unauthorized actors.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-04 partial match
blocks

Log generation configuration can and should exclude sensitive data, but the control statement focuses on availability rather than content filtering.

PR.PS-06 partial match
blocks

Secure SDLC practices directly prohibit writing sensitive data to logs; eliminating the weakness satisfies only one narrow slice of the control.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

blocks

A.5.10 only requires awareness, a topic-specific acceptable-use policy stating expected behaviours/monitoring, and procedures referencing classification and other controls; per the owner's explicit rule on labelling and similar dependency-style clauses, this does not itself prevent exposure (CWE-200) unless access/DLP/etc. act on it.

blocks

Requiring the return of all physical and electronic assets plus secure deletion of organizational data from personal devices reduces the chance that sensitive information remains accessible to departing personnel.

blocks

A.5.12 only defines and communicates a classification scheme so that protection needs can be understood; per the owner's explicit rule, labeling/classification does not itself prevent exposure and requires other controls (e.g. access enforcement) to act on it.

blocks

By requiring classification labels and metadata on all information assets, the control makes it harder for sensitive data to be inadvertently exposed because downstream systems and users can recognize and enforce handling rules based on those labels.

blocks

Requiring encryption, access controls, and recipient authentication for transfers directly reduces the chance that sensitive data reaches an unauthorized observer.

removes

Hardening callouts derived

DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.

References