CVE-2026-2359 (GCVE-0-2026-2359)
Vulnerability from cvelistv5 – Published: 2026-02-27 15:42 – Updated: 2026-07-15 01:18
VLAI
EPSS
VEX
Title
Multer vulnerable to Denial of Service via resource exhaustion
Summary
Multer is a node.js middleware for handling `multipart/form-data`. A vulnerability in Multer prior to version 2.1.0 allows an attacker to trigger a Denial of Service (DoS) by dropping connection during file upload, potentially causing resource exhaustion. Users should upgrade to version 2.1.0 to receive a patch. No known workarounds are available.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-27 17:13 UTC
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://github.com/expressjs/multer/security/advi… | |
| https://www.cve.org/CVERecord?id=CVE-2026-2359 | |
| https://github.com/expressjs/multer/commit/cccf0f… | |
| https://cna.openjsf.org/security-advisories.html | |
| https://access.redhat.com/security/cve/CVE-2026-2359 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2443350 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:6174 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:6802 | vendor-advisoryx_refsource_REDHAT |
Impacted products
11 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| expressjs | multer |
Affected:
0.0.0 , < 2.1.0
(semver)
|
guessed | |
| Red Hat | Red Hat Developer Hub 1.8 |
Unaffected:
1774545605 , < *
(rpm)
cpe:/a:redhat:rhdh:1.8::el9 |
||
| Red Hat | Red Hat Developer Hub 1.9 |
Unaffected:
1775140647 , < *
(rpm)
cpe:/a:redhat:rhdh:1.9::el9 |
||
| Red Hat | Logging Subsystem for Red Hat OpenShift |
cpe:/a:redhat:logging:5
|
||
| Red Hat | Logging Subsystem for Red Hat OpenShift |
cpe:/a:redhat:logging:5
cpe:/a:redhat:logging:6 |
||
| Red Hat | Red Hat Enterprise Linux 10 |
cpe:/o:redhat:enterprise_linux:10
|
||
| Red Hat | Red Hat Enterprise Linux 7 |
cpe:/o:redhat:enterprise_linux:7
|
||
| Red Hat | Red Hat Enterprise Linux 8 |
cpe:/o:redhat:enterprise_linux:8
|
||
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9
|
||
| Red Hat | Red Hat Trusted Profile Analyzer |
cpe:/a:redhat:trusted_profile_analyzer:2
|
||
| Red Hat | Self-service automation portal 2 |
cpe:/a:redhat:ansible_portal:2
|
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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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