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VulnerabilityPublished Updated

CVE-2026-82028: absmach magistrala · SQL Injection

Affects absmach magistralaSource CVE Database V5

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Not known to be exploited · CVSS 8.7 High : upgrade to 1.0.0 soon.

Data as of 29 Oct 2026, 19:04 UTC

CVSS 4.0 base score
8.7High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.5% chance of exploitation in 30 days – higher than 48% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 1.0.0
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 14 Sep 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 29 Oct 2026.

What to do

Upgrade absmach magistrala to 1.0.0.

Affected software

ProductAffectedFixed in
absmachmagistralaAffected
  • <1.0.0
Fixed in
  • 1.0.0
GitHubmagistralapkg:github/magistralaOther threatsAffected
  • <1.0.0
Fixed in
  • 1.0.0

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

If you cannot patch yet, restrict access to the affected API services to trusted users only and monitor for suspicious activity related to SQL injection attempts.

Description

Magistrala before 1.0.0 contains a SQL injection vulnerability in the timescale-reader and postgres-reader HTTP API services that allows authenticated attackers to inject arbitrary SQL by supplying a malicious format query parameter that is interpolated directly into the FROM clause without parameterization or identifier quoting. Attackers with a self-registered account can substitute arbitrary subqueries to achieve cross-tenant database reads, extract pg_shadow password hashes, read and write arbitrary files, and execute arbitrary code as the postgres OS user by loading attacker-supplied shared objects, with all injected SQL executing at superuser privilege due to the default PostgreSQL role configuration.

References

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