CVE-2026-54596 (GCVE-0-2026-54596)
Vulnerability from cvelistv5 – Published: 2026-09-17 20:33 – Updated: 2026-09-24 20:46
VLAI
EPSS
VEX
Title
ITFlow: Authenticated SQL Injection via recurring_invoice_frequency Parameter Enables Full Database Exfiltration
Summary
ITFlow provides an IT documentation, ticketing and accounting system for small managed service providers. Prior to version 26.07, an authenticated Technician or higher with access to at least one client invoice can inject SQL through the frequency parameter handled by agent/post/recurring_invoice.php. The handler passes recurring_invoice_frequency through sanitizeInput but interpolates it unquoted into DATE_ADD, allowing SQL syntax to escape the interval expression, assign additional INSERT columns, store subquery results in recurring_invoice_note, and expose those results through agent/recurring_invoice.php. The persisted recurring_invoice_frequency can execute again when Force Recurring uses it in a later UPDATE, allowing another legitimate user to trigger the second-order injection. This can expose password hashes, SMTP credentials, user records, and database metadata, modify database fields, and enable administrative takeover after credential cracking. This issue is fixed in version 26.07.
Severity
8.1 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-24 20:46 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/itflow-org/itflow/security/adv… | x_refsource_CONFIRM |
| https://github.com/itflow-org/itflow/pull/1284 | x_refsource_MISC |
| https://github.com/itflow-org/itflow/commit/72114… | x_refsource_MISC |
| https://github.com/itflow-org/itflow/releases/tag… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| itflow-org | itflow |
Affected:
< 26.07
|
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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
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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