CVE-2026-53759 — linuxfabrik-lib
Fix: Linuxfabrik/lib@1e3ca61CVE-2026-53759 is a CWE-377 vulnerability in linuxfabrik-lib. A fix is available for linuxfabrik-lib — see the affected versions and patch details below.
linuxfabrik-lib: Insecure creation of SQLite databases
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
Exploitation and automatability from CISA’s SSVC triage for CVE-2026-53759.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
Real-World Exposure
linuxfabrik-libReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
Summary
The SQLite databases are created at predictable (static) paths in /tmp. Any user can therefore create a symlink at these paths in /tmp pointing to arbitrary files. The monitoring scripts then follows these symlinks and then creates their database at the symlink target.
This becomes really dangerous for the scripts which can be executed as root with sudo. With this, an attacker can write to abitrary paths.
PoC
The docker-stats check command here as an example. Because writing to /tmp is the default behaviour, the other check commands which use a SQLite database are also very likely affected.
# Create the symlink as nagios user
nagios@test-server:/tmp$ ln -s /root/nagios-was-here /tmp/linuxfabrik-monitoring-plugins-docker-stats.db
# Trigger the execution nagios user
nagios@test-server:/tmp$ sudo /usr/lib64/nagios/plugins/docker-stats
Check whether or not file was created.
root@test-server:/# file /root/nagios-was-here
/root/nagios-was-here: SQLite 3.x database, last written using SQLite version 3046001, file counter 2, database pages 3, cookie 0x2, schema 4, UTF-8, version-valid-for 2
Impact
In it's basic form, this vulnerbility can lead to a denial of service, impacting users who use the provided sudoers file and who didn't take any special precautions like systemd's PrivateTemp. It requires that an attacker already compromised the nagios account (which is quite a high barrier to be honest).
If any application on the server relies on a SQLite database, there are scenarios where this vulnerability allows for content in existing SQLite databases to be modified. An attacker could let the symlink point to an existing SQLite database and create in /tmp a specially-crafted SQLite Rollback Journal (.db-journal) or Write-Ahead-Log (.db-wal), which is then applied to the database.
Fix
A proposed fix would be to create a separate directory inside /tmp per user (e.g., /tmp/linuxfabrik-monitoring-plugins-{os.geteuid()}). After creating this directory (or using an already existing one), check the following:
# Use os.lstat() instead of os.stat() so we don't accidentally follow symlinks
dir_stat = os.lstat(TMP_DIR_PATH)
# Ensure the directory is a real dir and not a Symlink
if not stat.S_ISDIR(dir_stat.st_mode):
# abort the execution
sys.exit(1)
# Verify the owner
if dir_stat.st_uid != os.getuid():
# abort the execution
sys.exit(1)
# Verify the permissions
if (dir_stat.st_mode & 0o077) != 0:
# abort the execution
sys.exit(1)
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | linuxfabrik-lib | all versions | 4.2.0pip install --upgrade 'linuxfabrik-lib==4.2.0' |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for linuxfabrik-lib, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update linuxfabrik-lib to 4.2.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-53759 is resolved across your whole dependency graph.
Workarounds
Cap what an attacker can consume: apply request size, rate and timeout limits in front of the affected component, and run it with memory and CPU limits so exhaustion degrades one worker rather than the whole service.
Frequently Asked Questions
Is CVE-2026-53759 in your dependencies?
Find it across PyPI, including transitive dependencies.