CVE-2026-73640 (GCVE-0-2026-73640)
Vulnerability from cvelistv5 – Published: 2026-09-28 13:12 – Updated: 2026-09-28 17:58
VLAI
EPSS
VEX
Title
Time-based SQL Injection in Dayforce Payroll
Summary
Dayforce Payroll is vulnerable to Time Based-Blind SQL Injection in password recovery functionality. The unauthenticated attacker can prepare GET request with one of the parameters filled in with an arbitrary SQL query. The parameter is interpreted as part of SQL predicate resulting in Time-Based Blind SQL Injection.
Because vendor contact attempts were unsuccessful, the vulnerability has only been confirmed in version R2026.2.0 but may also affect other versions.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-28 17:58 UTC
CWE
- CWE-89 - Improper neutralization of special elements used in an SQL command ('SQL injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://cert.pl/en/posts/2026/09/CVE-2026-73640 | third-party-advisory |
| https://www.dayforce.com/how-we-help/dayforce/pay… | product |
Impacted products
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
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