OPENSUSE-SU-2025-20035-1
Vulnerability from csaf_opensuse - Published: 2025-11-10 15:52 - Updated: 2025-11-10 15:52Summary
Security update for micropython
Severity
Moderate
Notes
Title of the patch: Security update for micropython
Description of the patch: This update for micropython fixes the following issues:
Changes in micropython:
- Build with mbedtls-3.6.5 instead of bundled 3.6.2 to fix CVE-2025-59438
Version 1.26.0:
* Added machine.I2CTarget for creating I2C target devices on multiple ports.
* New MCU support: STM32N6xx (800 MHz, ML accel) & ESP32-C2 (WiFi + BLE).
* Major float accuracy boost (~28% → ~98%), constant folding in compiler.
* Optimized native/Viper emitters; reduced heap use for slices.
* Time functions standardized (1970–2099); new boards across ESP32, SAMD, STM32, Zephyr.
* ESP32: ESP-IDF 5.4.2, flash auto-detect, PCNT class, LAN8670 PHY.
* RP2: compressed errors, better lightsleep, hard IRQ timers.
* Zephyr v4.0.0: PWM, SoftI2C/SPI, BLE runtime services, boot.py/main.py support.
* mpremote adds fs tree, improved df, portable config paths.
* Updated lwIP, LittleFS, libhydrogen, stm32lib; expanded hardware/CI tests.
Patchnames: openSUSE-Leap-16.0-packagehub-17
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
5.5 (Medium)
Affected products
Recommended
5 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Leap 16.0:micropython-1.26.0-bp160.1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:micropython-1.26.0-bp160.1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:mpremote-1.26.0-bp160.1.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:mpy-tools-1.26.0-bp160.1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:mpy-tools-1.26.0-bp160.1.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
moderate
References
5 references
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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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