CVE-2025-14847 (GCVE-0-2025-14847)
Vulnerability from cvelistv5 – Published: 2025-12-19 11:00 – Updated: 2026-02-26 16:07Title
Zlib compressed protocol header length confusion may allow memory read
Summary
Mismatched length fields in Zlib compressed protocol headers may allow a read of uninitialized heap memory by an unauthenticated client. This issue affects all MongoDB Server v7.0 prior to 7.0.28 versions, MongoDB Server v8.0 versions prior to 8.0.17, MongoDB Server v8.2 versions prior to 8.2.3, MongoDB Server v6.0 versions prior to 6.0.27, MongoDB Server v5.0 versions prior to 5.0.32, MongoDB Server v4.4 versions prior to 4.4.30, MongoDB Server v4.2 versions greater than or equal to 4.2.0, MongoDB Server v4.0 versions greater than or equal to 4.0.0, and MongoDB Server v3.6 versions greater than or equal to 3.6.0.
Severity
SSVC
Exploitation: active
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-30 04:55 UTC
CWE
- CWE-130 - Improper Handling of Length Parameter Inconsistency
Assigner
References
6 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| MongoDB Inc. | MongoDB Server |
Affected:
8.2 , < 8.2.3
(custom)
Affected: 8.0 , < 8.0.17 (custom) Affected: 7.0 , < 7.0.28 (custom) Affected: 6.0 , < 6.0.27 (custom) Affected: 5.0 , < 5.0.32 (custom) Affected: 4.4 , < 4.4.30 (custom) Affected: 4.2 (custom) Affected: 4.0 (custom) Affected: 3.6 (custom) |
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: cfd7f6f4-c26a-4218-beaf-cb15cf565a4c
Exploited: Yes
Timestamps
First Seen: 2025-12-29
Asserted: 2025-12-29
Scope
Notes: MongoDB and MongoDB Server Improper Handling of Length Parameter Inconsistency Vulnerability | Affected: MongoDB / MongoDB and MongoDB Server | Description: MongoDB Server contains an improper handling of length parameter inconsistency vulnerability in Zlib compressed protocol headers. This vulnerability may allow a read of uninitialized heap memory by an unauthenticated client. | Required action: Apply mitigations per vendor instructions, follow applicable BOD 22-01 guidance for cloud services, or discontinue use of the product if mitigations are unavailable. | Due date: 2026-01-19 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): This vulnerability could affect an open-source component, third-party library, protocol, or proprietary implementation that could be used by different products. For more information, please see: https://jira.mongodb.org/browse/SERVER-115508 ; https://nvd.nist.gov/vuln/detail/CVE-2025-14847
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-130 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | MongoDB and MongoDB Server |
| Due Date | 2026-01-19 |
| Date Added | 2025-12-29 |
| Vendorproject | MongoDB |
| Vulnerabilityname | MongoDB and MongoDB Server Improper Handling of Length Parameter Inconsistency Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-10-02 08:09 CEST
| Updated: 2026-10-02 08:09 CEST
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: f264e344-bbab-4f8f-9d70-ad7405c21274
Exploited: Yes
Timestamps
First Seen: 2026-06-01
Asserted: 2026-06-01
Scope
Notes: Zlib compressed protocol header length confusion may allow memory read | Affected: MongoDB / MongoDB Server | CVSS: 8.7 (HIGH) | EPSS: 0.83218 | Used in malware: unknown | Listed 1 day ahead of CISA KEV | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | Zlib compressed protocol header length confusion may allow memory read |
| Cve Id | CVE-2025-14847 |
| Vendor | MongoDB |
| Ghsa Id | None |
| Product | MongoDB Server |
| Added Date | 2026-06-01T10:47:16.660Z |
| Cvss Score | 8.7 |
| Epss Score | 0.83218 |
| Previous Ids | |
| Cvss Severity | HIGH |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.99671 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2025-14847 |
| Ahead Of Cisa Kev |
|
| Not Yet In Cisa Kev | False |
References
Created: 2026-10-02 09:09 CEST
| Updated: 2026-10-02 09:09 CEST
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},
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"reference": "https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2025-14847"
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}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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