CVE-2026-44778 (GCVE-0-2026-44778)
Vulnerability from cvelistv5 – Published: 2026-09-15 17:00 – Updated: 2026-09-17 16:19
VLAI
EPSS
VEX
Title
Inspektor Gadget: Unprivileged container can crash USDT note parser via crafted ELF
Summary
Inspektor Gadget is a set of tools and framework for data collection and system inspection on Kubernetes clusters and Linux hosts using eBPF. From 0.28.0 until 0.53.1, the USDT note parser in pkg/uprobetracer/usdt.go can allow an unprivileged container to crash or exhaust the memory of the privileged Inspektor Gadget process when a custom gadget containing a SEC("usdt/...") eBPF section attaches to a crafted ELF binary. The getUsdtInfo() function reads the .note.stapsdt section without validating that DescSize is large enough for three address fields, allowing an out-of-bounds slice operation to panic, and it uses untrusted NameSize and DescSize values for allocations that can consume gigabytes of memory. The parser also invokes debug/elf without panic recovery, allowing other malformed ELF structures to terminate the process. No gadget shipped by Inspektor Gadget uses USDT probes, so only deployments using custom USDT gadgets are affected, and the demonstrated impact is denial of service rather than code execution or privilege escalation. This issue is fixed in version 0.53.1.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-17 16:19 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/inspektor-gadget/inspektor-gad… | x_refsource_CONFIRM |
| https://github.com/inspektor-gadget/inspektor-gad… | x_refsource_MISC |
| https://github.com/inspektor-gadget/inspektor-gad… | x_refsource_MISC |
| https://github.com/inspektor-gadget/inspektor-gad… | x_refsource_MISC |
| https://github.com/inspektor-gadget/inspektor-gad… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| inspektor-gadget | inspektor-gadget |
Affected:
>= 0.28.0, < 0.53.1
|
guessed |
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"metrics": {
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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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