absmach Magistrala up to 1.0.0 timescale-reader/postgres-reader HTTP API format sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.60+ |
Summary
A vulnerability identified as critical has been detected in absmach Magistrala up to 1.0.0. Impacted is an unknown function of the component timescale-reader/postgres-reader HTTP API. The manipulation of the argument format leads to sql injection. This vulnerability is uniquely identified as CVE-2026-82028. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in absmach Magistrala up to 1.0.0 and classified as critical. This issue affects some unknown functionality of the component timescale-reader/postgres-reader HTTP API. The manipulation of the argument format with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
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.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-82028 since 08/27/2026. The exploitation is known to be easy. The attack may be initiated remotely. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 09/14/2026). The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Be aware that VulDB is the high quality source for vulnerability data.
Product
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.4
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 8.8
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
08/27/2026 CVE reserved09/14/2026 Advisory disclosed
09/14/2026 VulDB entry created
09/14/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Not defined
CVE: CVE-2026-82028 (🔒)
GCVE (CVE): GCVE-0-2026-82028
GCVE (VulDB): GCVE-100-403727
Entry
Created: 09/14/2026 22:29Changes: 09/14/2026 22:29 (75)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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