CVE-2026-120859

PyMoDAQ before 5.3.10 Arbitrary Code Execution via Crafted HDF5, Dock Layout, and XML Settings Files

publishedCWE-502CWE-95

PyMoDAQ before 4.4.13, and pymodaq_data, pymodaq_gui, and pymodaq_utils before 5.1.15, 5.2.x before 5.2.14, and 5.3.x before 5.3.10, contain deserialization of untrusted data and eval injection vulnerabilities that allow attackers to execute arbitrary code by supplying crafted files that a user opens. Attackers can store pickled objects in HDF5 string nodes that StringARRAY.array_to_string() passes to pickle.loads() when the node is browsed or read, place Python expressions in HDF5 attributes that JsonConverter.json2object() evaluates, supply a .dock file that load_layout_state() unpickles from the Dashboard Load layout action, or embed Python expressions in XML settings files that elt_to_dict() and set_txt_from_elt() evaluate.

Technical severity8.5 highCVSS 4.0 · CNA: VulnCheck

Published2026-11-05Source updated 2026-11-09

Collected2026-11-104 attributed sources

Fixes and workarounds

Fix

The reporting source identifies this reference as a patch. Check the advisory for affected versions and supported release branches.

Source: CNA: VulnCheck

Fix

The reporting source identifies this reference as a patch. Check the advisory for affected versions and supported release branches.

Source: CNA: VulnCheck

Fix

The reporting source identifies this reference as a patch. Check the advisory for affected versions and supported release branches.

Source: CNA: VulnCheck

Fix

The reporting source identifies this reference as a patch. Check the advisory for affected versions and supported release branches.

Source: CNA: VulnCheck

Affected products and versions

Affected products, source version ranges and reporting authorities
Product	Versions	Authority
PyMoDAQ PyMoDAQ `pymodaq` pypi	≥ 0; < 4.4.13 (affected, semver) Other versions: unaffected	CNA: VulnCheck
pymodaq_data PyMoDAQ `pymodaq-data` pypi	≥ 0; < 5.1.15 (affected, semver) ≥ 5.2.0; < 5.2.14 (affected, semver) ≥ 5.3.0; < 5.3.10 (affected, semver) Other versions: unaffected	CNA: VulnCheck
pymodaq_gui PyMoDAQ `pymodaq-gui` pypi	≥ 0; < 5.1.15 (affected, semver) ≥ 5.2.0; < 5.2.14 (affected, semver) ≥ 5.3.0; < 5.3.10 (affected, semver) Other versions: unaffected	CNA: VulnCheck
pymodaq_utils PyMoDAQ `pymodaq-utils` pypi	≥ 0; < 5.1.15 (affected, semver) ≥ 5.2.0; < 5.2.14 (affected, semver) ≥ 5.3.0; < 5.3.10 (affected, semver) Other versions: unaffected	CNA: VulnCheck
pymodaq_data `pymodaq_data` pip	<5.3.10;<5.2.14;<5.1.10 (affected, GitHub advisory range)	GitHub GHSA-jw9g-5c9x-cf84
pymodaq `pymodaq` pip	<5.3.10;<5.2.14;<5.1.14;<5.0.19 (affected, GitHub advisory range)	GitHub GHSA-jw9g-5c9x-cf84
pymodaq_gui `pymodaq_gui` pip	<5.3.10;<5.2.14;<5.1.13;<5.0.36 (affected, GitHub advisory range)	GitHub GHSA-jw9g-5c9x-cf84
pymodaq_utils `pymodaq_utils` pip	<5.3.10;<5.2.14;<5.1.12 (affected, GitHub advisory range)	GitHub GHSA-jw9g-5c9x-cf84

Version ranges are source assertions. Check the vendor advisory and your installed configuration before determining exposure.

CVSS assessments

CVSS scores, vectors and reporting authorities
Version / score	Vector	Authority
4.0 / 8.5 high	`CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N`	CNA: VulnCheck
3.1 / 7.8 high	`CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H`	CNA: VulnCheck
4.0 / 8.5 high	`CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X`	NVD: [email protected]
3.1 / 7.8 high	`CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H`	NVD: [email protected]

Exploit evidence

https://github.com/PyMoDAQ/PyMoDAQ/security/advisories/GHSA-jw9g-5c9x-cf84
exploit · ADP: CISA-ADP

References

https://github.com/PyMoDAQ/PyMoDAQ/security/advisories/GHSA-jw9g-5c9x-cf84CNA: VulnCheck · vendor-advisory
https://github.com/PyMoDAQ/PyMoDAQ/commit/6c7fff74d82624c640bd79513f5b4675ea6d88daCNA: VulnCheck · patch
https://github.com/PyMoDAQ/PyMoDAQ/commit/3bf9042a58f5d4870a2b45fe2c9423aafe6b9203CNA: VulnCheck · patch
https://github.com/PyMoDAQ/PyMoDAQ/commit/ae0042513eb979c84da690825902658c625718d1CNA: VulnCheck · patch
https://github.com/PyMoDAQ/PyMoDAQ/commit/041e8a22b3dbe3c986ec0ea3c6b46a22f5efe374CNA: VulnCheck · patch
https://github.com/PyMoDAQ/PyMoDAQ/releases/tag/5.3.10CNA: VulnCheck · release-notes
https://github.com/PyMoDAQ/PyMoDAQ/releases/tag/5.2.14CNA: VulnCheck · release-notes
https://github.com/PyMoDAQ/PyMoDAQ/releases/tag/5.1.15CNA: VulnCheck · release-notes
https://github.com/PyMoDAQ/PyMoDAQ/releases/tag/4.4.13CNA: VulnCheck · release-notes
https://github.com/PyMoDAQ/PyMoDAQ/blob/5.3.9/packages/pymodaq_data/src/pymodaq_data/h5modules/backends.py#L477-L478CNA: VulnCheck · technical-description
https://www.vulncheck.com/advisories/pymodaq-before-5.3.10-arbitrary-code-execution-via-crafted-hdf5-dock-layout-and-xml-settings-filesCNA: VulnCheck · third-party-advisory
https://github.com/PyMoDAQ/PyMoDAQ/security/advisories/GHSA-jw9g-5c9x-cf84ADP: CISA-ADP · exploit
https://github.com/PyMoDAQ/PyMoDAQ/blob/5.3.9/packages/pymodaq_data/src/pymodaq_data/h5modules/backends.py#L477-L478[email protected]
https://github.com/PyMoDAQ/PyMoDAQ/commit/041e8a22b3dbe3c986ec0ea3c6b46a22f5efe374[email protected]
https://github.com/PyMoDAQ/PyMoDAQ/commit/3bf9042a58f5d4870a2b45fe2c9423aafe6b9203[email protected]
https://github.com/PyMoDAQ/PyMoDAQ/commit/6c7fff74d82624c640bd79513f5b4675ea6d88da[email protected]
https://github.com/PyMoDAQ/PyMoDAQ/commit/ae0042513eb979c84da690825902658c625718d1[email protected]
https://github.com/PyMoDAQ/PyMoDAQ/releases/tag/4.4.13[email protected]
https://github.com/PyMoDAQ/PyMoDAQ/releases/tag/5.1.15[email protected]
https://github.com/PyMoDAQ/PyMoDAQ/releases/tag/5.2.14[email protected]
https://github.com/PyMoDAQ/PyMoDAQ/releases/tag/5.3.10[email protected]
https://github.com/PyMoDAQ/PyMoDAQ/security/advisories/GHSA-jw9g-5c9x-cf84[email protected]
https://www.vulncheck.com/advisories/pymodaq-before-5.3.10-arbitrary-code-execution-via-crafted-hdf5-dock-layout-and-xml-settings-files[email protected]
https://github.com/PyMoDAQ/PyMoDAQ/security/advisories/GHSA-jw9g-5c9x-cf84134c704f-9b21-4f2e-91b3-4a467353bcc0
https://github.com/PyMoDAQ/PyMoDAQ/security/advisories/GHSA-jw9g-5c9x-cf84GitHub Security Advisories · advisory

Prioritization

CISA known exploited vulnerabilities

No KEV listing in collected sources. This does not establish that exploitation is absent.

EPSS

0.19% estimated probability of exploitation in the next 30 days; percentile 8.89.
Assessed 2026-11-09 by FIRST.

SSVC

Exploitation: poc
Automatable: no
Technical impact: total

ADP: CISA-ADP · 2026-11-09

Provenance

CNA: VulnCheck
Source updated 2026-11-09
Retrieved 2026-11-09

NVD
Source updated 2026-11-09
Retrieved 2026-11-10

GitHub Security Advisories
Source updated 2026-11-04
Retrieved 2026-11-07

FIRST EPSS
Source updated Not reported
Retrieved 2026-11-09

Disclosure revision
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