CVE-2026-7860 Vulnerability Analysis & Exploit Details

CVE-2026-7860
Vulnerability Scoring

Analysis In Progress
Analysis In Progress

Attack Complexity Details

  • Attack Complexity:
    Attack Complexity Analysis In Progress
  • Attack Vector:
    Attack Vector Under Analysis
  • Privileges Required: None
    No authentication is required for exploitation.
  • Scope:
    Impact is confined to the initially vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2026-7860 Details

Status: Received on 19 May 2026, 12:16 UTC

Published on: 19 May 2026, 12:16 UTC

CVSS Release:

CVE-2026-7860 Vulnerability Summary

CVE-2026-7860: A possible information disclosure vulnerability exists in the Vaadin Maven plugin and Vaadin Gradle plugin that exposes the full set of environment variables in build logs whenever the frontend build process exits with a non-zero status. Because the build environment may contain credentials supplied as secrets, any failed frontend build can expose those secrets in clear text in CI logs and archived build artifacts. Users of affected versions should apply the following mitigation or upgrade. Releases that have fixed this issue include: Product version Vaadin 23.0.0 - 23.6.9 Vaadin 24.0.0 - 24.10.3 Vaadin 25.0.0 - 25.1.4 Mitigation Upgrade to 23.6.10 Upgrade to 24.10.4 or newer Upgrade to 25.1.5 or newer Please note that Vaadin versions 10-13 and 15-22 are no longer supported and you should update either to the latest 23, 24, or 25 version. ArtifactsMaven coordinatesVulnerable versionsFixed versioncom.vaadin:flow-plugin-base23.0.0 - 23.6.10≥23.6.11com.vaadin:flow-plugin-base24.0.0 - 24.10.3≥24.10.4com.vaadin:flow-plugin-base25.0.0 - 25.1.4≥25.1.5com.vaadin:flow-maven-plugin23.0.0 - 23.6.10≥23.6.11com.vaadin:flow-maven-plugin24.0.0 - 24.10.3≥24.10.4com.vaadin:flow-maven-plugin25.0.0 - 25.1.4≥25.1.5com.vaadin:flow-gradle-plugin24.0.0 - 24.10.3≥24.10.4com.vaadin:flow-gradle-plugin25.0.0 - 25.1.4≥25.1.5

Assessing the Risk of CVE-2026-7860

Access Complexity Graph

The exploitability of CVE-2026-7860 depends on two key factors: attack complexity (the level of effort required to execute an exploit) and privileges required (the access level an attacker needs).

Exploitability Analysis for CVE-2026-7860

No exploitability data is available for CVE-2026-7860.

Understanding AC and PR

A lower complexity and fewer privilege requirements make exploitation easier. Security teams should evaluate these aspects to determine the urgency of mitigation strategies, such as patch management and access control policies.

Attack Complexity (AC) measures the difficulty in executing an exploit. A high AC means that specific conditions must be met, making an attack more challenging, while a low AC means the vulnerability can be exploited with minimal effort.

Privileges Required (PR) determine the level of system access necessary for an attack. Vulnerabilities requiring no privileges are more accessible to attackers, whereas high privilege requirements limit exploitation to authorized users with elevated access.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2026-7860, illustrating how Base, Impact, and Exploitability factors combine to form the overall severity rating. A higher sub-score typically indicates a more severe or easier-to-exploit vulnerability.

CIA Impact Analysis

Below is the Impact Analysis for CVE-2026-7860, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: None
    CVE-2026-7860 does not compromise confidentiality.
  • Integrity: None
    CVE-2026-7860 does not impact data integrity.
  • Availability: None
    CVE-2026-7860 does not affect system availability.

CVE-2026-7860 References

External References

CWE Common Weakness Enumeration

CWE-209

CAPEC Common Attack Pattern Enumeration and Classification

  • Fuzzing for application mapping CAPEC-215 An attacker sends random, malformed, or otherwise unexpected messages to a target application and observes the application's log or error messages returned. The attacker does not initially know how a target will respond to individual messages but by attempting a large number of message variants they may find a variant that trigger's desired behavior. In this attack, the purpose of the fuzzing is to observe the application's log and error messages, although fuzzing a target can also sometimes cause the target to enter an unstable state, causing a crash.
  • Padding Oracle Crypto Attack CAPEC-463 An adversary is able to efficiently decrypt data without knowing the decryption key if a target system leaks data on whether or not a padding error happened while decrypting the ciphertext. A target system that leaks this type of information becomes the padding oracle and an adversary is able to make use of that oracle to efficiently decrypt data without knowing the decryption key by issuing on average 128*b calls to the padding oracle (where b is the number of bytes in the ciphertext block). In addition to performing decryption, an adversary is also able to produce valid ciphertexts (i.e., perform encryption) by using the padding oracle, all without knowing the encryption key.
  • Query System for Information CAPEC-54 An adversary, aware of an application's location (and possibly authorized to use the application), probes an application's structure and evaluates its robustness by submitting requests and examining responses. Often, this is accomplished by sending variants of expected queries in the hope that these modified queries might return information beyond what the expected set of queries would provide.
  • Blind SQL Injection CAPEC-7 Blind SQL Injection results from an insufficient mitigation for SQL Injection. Although suppressing database error messages are considered best practice, the suppression alone is not sufficient to prevent SQL Injection. Blind SQL Injection is a form of SQL Injection that overcomes the lack of error messages. Without the error messages that facilitate SQL Injection, the adversary constructs input strings that probe the target through simple Boolean SQL expressions. The adversary can determine if the syntax and structure of the injection was successful based on whether the query was executed or not. Applied iteratively, the adversary determines how and where the target is vulnerable to SQL Injection.

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