CVE-2026-1998 (GCVE-0-2026-1998)
Vulnerability from cvelistv5 – Published: 2026-02-06 06:02 – Updated: 2026-02-23 09:22 X_Open Source
VLAI
EPSS
VEX
Title
micropython runtime.c mp_import_all memory corruption
Summary
A flaw has been found in micropython up to 1.27.0. This vulnerability affects the function mp_import_all of the file py/runtime.c. This manipulation causes memory corruption. The attack needs to be launched locally. The exploit has been published and may be used. Patch name: 570744d06c5ba9dba59b4c3f432ca4f0abd396b6. It is suggested to install a patch to address this issue.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-12 15:08 UTC
CWE
- CWE-119 - Memory Corruption
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.344546 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.344546 | signaturepermissions-required |
| https://vuldb.com/?submit.743396 | third-party-advisory |
| https://github.com/micropython/micropython/issues/18639 | issue-tracking |
| https://github.com/micropython/micropython/pull/18671 | issue-tracking |
| https://github.com/micropython/micropython/issues… | exploitissue-tracking |
| https://github.com/dpgeorge/micropython/commit/57… | patch |
| https://github.com/micropython/micropython/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | micropython |
Affected:
1.0
Affected: 1.1 Affected: 1.2 Affected: 1.3 Affected: 1.4 Affected: 1.5 Affected: 1.6 Affected: 1.7 Affected: 1.8 Affected: 1.9 Affected: 1.10 Affected: 1.11 Affected: 1.12 Affected: 1.13 Affected: 1.14 Affected: 1.15 Affected: 1.16 Affected: 1.17 Affected: 1.18 Affected: 1.19 Affected: 1.20 Affected: 1.21 Affected: 1.22 Affected: 1.23 Affected: 1.24 Affected: 1.25 Affected: 1.26 Affected: 1.27.0 cpe:2.3:a:micropython:micropython:*:*:*:*:*:*:*:* |
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},
{
"status": "affected",
"version": "1.12"
},
{
"status": "affected",
"version": "1.13"
},
{
"status": "affected",
"version": "1.14"
},
{
"status": "affected",
"version": "1.15"
},
{
"status": "affected",
"version": "1.16"
},
{
"status": "affected",
"version": "1.17"
},
{
"status": "affected",
"version": "1.18"
},
{
"status": "affected",
"version": "1.19"
},
{
"status": "affected",
"version": "1.20"
},
{
"status": "affected",
"version": "1.21"
},
{
"status": "affected",
"version": "1.22"
},
{
"status": "affected",
"version": "1.23"
},
{
"status": "affected",
"version": "1.24"
},
{
"status": "affected",
"version": "1.25"
},
{
"status": "affected",
"version": "1.26"
},
{
"status": "affected",
"version": "1.27.0"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "reporter",
"value": "Oneafter (VulDB User)"
}
],
"descriptions": [
{
"lang": "en",
"value": "A flaw has been found in micropython up to 1.27.0. This vulnerability affects the function mp_import_all of the file py/runtime.c. This manipulation causes memory corruption. The attack needs to be launched locally. The exploit has been published and may be used. Patch name: 570744d06c5ba9dba59b4c3f432ca4f0abd396b6. It is suggested to install a patch to address this issue."
}
],
"metrics": [
{
"cvssV4_0": {
"baseScore": 4.8,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:P",
"version": "4.0"
}
},
{
"cvssV3_1": {
"baseScore": 3.3,
"baseSeverity": "LOW",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L/E:P/RL:O/RC:C",
"version": "3.1"
}
},
{
"cvssV3_0": {
"baseScore": 3.3,
"baseSeverity": "LOW",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L/E:P/RL:O/RC:C",
"version": "3.0"
}
},
{
"cvssV2_0": {
"baseScore": 1.7,
"vectorString": "AV:L/AC:L/Au:S/C:N/I:N/A:P/E:POC/RL:OF/RC:C",
"version": "2.0"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-119",
"description": "Memory Corruption",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-02-23T09:22:01.000Z",
"orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"shortName": "VulDB"
},
"references": [
{
"name": "VDB-344546 | micropython runtime.c mp_import_all memory corruption",
"tags": [
"vdb-entry",
"technical-description"
],
"url": "https://vuldb.com/?id.344546"
},
{
"name": "VDB-344546 | CTI Indicators (IOB, IOC, IOA)",
"tags": [
"signature",
"permissions-required"
],
"url": "https://vuldb.com/?ctiid.344546"
},
{
"name": "Submit #743396 | micropython 0fd0843 Memory Corruption",
"tags": [
"third-party-advisory"
],
"url": "https://vuldb.com/?submit.743396"
},
{
"tags": [
"issue-tracking"
],
"url": "https://github.com/micropython/micropython/issues/18639"
},
{
"tags": [
"issue-tracking"
],
"url": "https://github.com/micropython/micropython/pull/18671"
},
{
"tags": [
"exploit",
"issue-tracking"
],
"url": "https://github.com/micropython/micropython/issues/18639#issue-3780651410"
},
{
"tags": [
"patch"
],
"url": "https://github.com/dpgeorge/micropython/commit/570744d06c5ba9dba59b4c3f432ca4f0abd396b6"
},
{
"tags": [
"product"
],
"url": "https://github.com/micropython/micropython/"
}
],
"tags": [
"x_open-source"
],
"timeline": [
{
"lang": "en",
"time": "2026-02-05T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2026-02-05T01:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2026-02-18T01:03:36.000Z",
"value": "VulDB entry last update"
}
],
"title": "micropython runtime.c mp_import_all memory corruption"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2026-1998",
"datePublished": "2026-02-06T06:02:08.671Z",
"dateReserved": "2026-02-05T17:09:46.272Z",
"dateUpdated": "2026-02-23T09:22:01.000Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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