CVE-2026-44112 Details
OpenClaw before 2026.4.22 contains a time-of-check/time-of-use race condition in OpenShell sandbox filesystem writes that allows attackers to redirect writes outside the intended mount root. Attackers can exploit symlink swaps during filesystem operations to bypass sandbox restrictions and write files outside the local mount root.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2026-44112
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
2.44 Probability of exploitation activity being observed over the next 30 days (82nd percentile)
CVSS score for CVE-2026-44112
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
9.6 Critical
Products affected by CVE-2026-44112
Openclaw 2026.4.12
Openclaw 2026.4.14
Openclaw 2026.4.15
Openclaw 2026.4.20
Openclaw 2026.3.2
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
Medium
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CVE-2026-44112 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
CN 2,832 42.33%
US 1,377 20.58%
SG 688 10.28%
DE 351 5.25%
HK 323 4.83%
JP 229 3.42%
GB 127 1.90%
KR 87 1.30%
SC 73 1.09%
IN 67 1.00%

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CVE-2026-44112 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 5,218 95.94%
Telecommunications 146 2.68%
Retail 57 1.05%
Media/Entertainment 10 0.18%
Education 7 0.13%
Government/Politics 1 0.02%

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