GCVE-1988-2026-0130
Vulnerability from gna-1988 – Published: 2026-09-07 13:20 – Updated: 2026-09-11 11:51
VLAI
EPSS
VEX
Title
Security advisory: Pre-authentication RCE (SQL injection) in XPressEntry 3.7.7454 (Telaeris Inc)
Summary
0day Rubbish Research Team is publicly disclosing a vulnerability in XPressEntry 3.7.7454 (Telaeris Inc). The research
is published and a proof-of-concept is available.
Pre-authentication RCE (SQL injection) (CVSS 9.8, pre-authentication)
Telaeris XPressEntry 3.7.7454 runs its main HTTP API without authentication when RequireReaderCredentials is False,
which is the default. The SaveVerifyActivity handler concatenates the sNotes parameter into an INSERT statement with no
escaping. On a SQL Server backend with a sysadmin application account, an unauthenticated attacker uses a
COMMIT-breakout payload to enable xp_cmdshell and execute arbitrary commands as LocalSystem. Dynamically verified.
Impact: Full compromise of the physical access-control and emergency-mustering system as LocalSystem. The attacker can
alter badge records, forge or block entry events, and take over facility-security infrastructure.
Advisory: https://0day-rubbish.com/blog/telaeris-xpressentry-unauth-sqli-xpcmdshell-rce
PoC and full analysis: https://github.com/Exploit-Garbage/0day-Rubbish
Vendor has been notified. CVE ID is pending.
--
0day Rubbish Research Team
https://0day-rubbish.com
_______________________________________________
Sent through the Full Disclosure mailing list
https://nmap.org/mailman/listinfo/fulldisclosure
Web Archives & RSS: https://seclists.org/fulldisclosure/
Severity
No CVSS data available.
Assigner
References
7 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Security | advisory Pre-authentication |
Affected:
unknown
|
guessed |
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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.
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.
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