GHSA-8qjw-9xgm-c9ff · Severity: low · Ecosystem: maven — PowSyBl Core Contains a Polynomial ReDoS in RegexCriterion
PowSyBl (Power System Blocks) is a framework to build power system oriented software. In com.powsybl:powsybl-iidm-criteria versions 6.3.0 to before 6.7.2 and com.powsybl:powsybl-contingency-api versions 5.0.0 to before 6.3.0, there is a a potential polynomial Regular Expression Denial of Service (ReDoS) vulnerability in the RegexCriterion class. This class compiles and evaluates an unvalidated, user-supplied regular expression against the identifier of an Identifiable object via Pattern.compile(regex).matcher(id).find(). If successfully exploited, a malicious actor can cause significant CPU exhaustion through repeated or recursive filter(...) calls — especially if performed over large network models or filtering operations. This issue has been patched in com.powsybl:powsybl-iidm-criteria 6.7.2.
Conclusion & alert: CVE-2025-48059 is rated Low Risk (32.8/100): CVSS Low severity, with medium exploitation likelihood (EPSS 0.42%). Mandatory action: Monitor for updates and reassess as exploit intelligence or EPSS changes.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-04-16 | 0.05% | 0.42% | +0.36% |
| 2 | 2025-06-26 | 0.04% | 0.05% | +0.01% |
| 3 | 2025-06-21 | — | 0.04% | — |
Full EPSS history (3 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 2.7 | 4.0 | LOW |
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— | — | [email protected] |
GHSA-8qjw-9xgm-c9ff · Severity: low · Ecosystem: maven — PowSyBl Core Contains a Polynomial ReDoS in RegexCriterion
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||