CVE-2025-9031 in DivvyDrive Web
Summary
by MITRE • 09/24/2025
Observable Timing Discrepancy vulnerability in DivvyDrive Information Technologies Inc. DivvyDrive Web allows Cross-Domain Search Timing.
This issue affects DivvyDrive Web: from 4.8.2.2 before 4.8.2.15.
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Analysis
by VulDB Data Team • 06/06/2026
The CVE-2025-9031 vulnerability represents a critical observable timing discrepancy in DivvyDrive Web software versions ranging from 4.8.2.2 through 4.8.2.14, specifically impacting the cross-domain search timing functionality. This vulnerability stems from the improper handling of timing variations during search operations that span multiple domains, creating potential information disclosure risks. The flaw manifests when the application's response times differ based on whether search queries match existing data or return empty results, enabling attackers to infer information about the underlying data structures through timing analysis. This type of vulnerability falls under the CWE-203 category of "Observable Timing Discrepancy," which is classified as a weakness in software design that allows adversaries to extract sensitive information through timing-based side-channel attacks. The vulnerability specifically impacts the information security domain by creating opportunities for attackers to perform cross-domain search timing attacks that can reveal the presence or absence of specific data elements within the system.
The technical implementation of this vulnerability occurs at the application layer where the search functionality does not maintain consistent response times regardless of the search outcome. When conducting cross-domain searches, the system exhibits different timing characteristics for successful matches versus failed searches, creating a timing channel that can be exploited by malicious actors. This timing discrepancy allows attackers to determine whether specific search terms exist within the target domain by measuring response times, effectively enabling them to perform enumeration attacks across different domains. The vulnerability is particularly concerning because it affects the core search functionality of DivvyDrive Web, which is likely used for accessing and retrieving data from multiple sources. The timing variations occur at the web application level, where the application server processes search requests and returns results, making it difficult to mask these timing differences without significant architectural changes.
The operational impact of this vulnerability extends beyond simple information disclosure, as it can enable more sophisticated attacks that leverage the timing discrepancies for data enumeration and reconnaissance purposes. Attackers could potentially use this vulnerability to map out the structure of databases, identify active records, or determine the existence of specific data entries across different domains. The cross-domain nature of the vulnerability means that an attacker could exploit timing variations to gather intelligence about multiple systems or databases that the application interfaces with, potentially leading to broader compromise scenarios. This vulnerability particularly affects organizations that rely on DivvyDrive Web for data integration and cross-domain search capabilities, as it undermines the security assumptions around search functionality. The impact is amplified in environments where sensitive data is stored and accessed through these search mechanisms, as the timing discrepancies could reveal patterns about data access, user behavior, or system internals.
Mitigation strategies for CVE-2025-9031 should focus on implementing consistent timing behavior across all search operations regardless of query outcomes. Organizations should ensure that search response times remain constant by introducing artificial delays or using constant-time algorithms for search result processing. The recommended approach involves modifying the application logic to normalize response times across different search scenarios, effectively eliminating the timing channel that attackers can exploit. Security teams should also implement proper input validation and sanitization to prevent exploitation of timing discrepancies through malformed search queries. Additionally, network-level mitigations such as rate limiting and request throttling can help reduce the effectiveness of timing-based attacks by limiting the number of queries an attacker can perform within a given timeframe. The solution should align with industry standards such as the OWASP Top Ten security practices, specifically addressing timing attack vulnerabilities, and should be consistent with NIST guidelines for secure software development. Regular security testing including timing analysis should be implemented to detect similar vulnerabilities in other components of the application stack. Organizations should also consider implementing monitoring and alerting mechanisms to detect unusual search patterns that might indicate exploitation attempts. The vulnerability resolution requires patching the affected software versions to ensure consistent timing behavior across all search operations, with the specific fix targeting the cross-domain search functionality that exhibits the timing discrepancies.