CVE-2026-7860 : Detail

CVE-2026-7860

1.6
/
Rendah
0.02%V4
2026-05-19
11h01 +00:00
A04-Insecure Design
Local
2026-09-14
14h24 +00:00
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Kelola notifikasi

Deskripsi CVE

Possible information disclosure of environment variables in Vaadin Build Plugins via Failed Frontend Build

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 - 24.9.16 Vaadin 24.10.0 - 24.10.3 Vaadin 25.0.0 - 25.0.10 Vaadin 25.1.0 - 25.1.4 Mitigation Upgrade to 23.6.10 Upgrade to 24.9.17 or newer Upgrade to 24.10.4 or newer Upgrade to 25.0.11 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 - 24.9.17≥24.9.18com.vaadin:flow-plugin-base24.10.0 - 24.10.3≥24.10.4com.vaadin:flow-plugin-base25.0.0 - 25.0.11≥25.0.12com.vaadin:flow-plugin-base25.1.0 - 25.1.4≥25.1.5com.vaadin:flow-maven-plugin23.0.0 - 23.6.10≥23.6.11com.vaadin:flow-maven-plugin24.0.0 - 24.9.17≥24.9.18com.vaadin:flow-maven-plugin24.10.0 - 24.10.3≥24.10.4com.vaadin:flow-maven-plugin25.0.0 - 25.0.11≥25.0.12com.vaadin:flow-maven-plugin25.1.0 - 25.1.4≥25.1.5com.vaadin:flow-gradle-plugin23.0.0 - 23.6.10≥23.6.11com.vaadin:flow-gradle-plugin24.0.0 - 24.9.17≥24.9.18com.vaadin:flow-gradle-plugin24.10.0 - 24.10.3≥24.10.4com.vaadin:flow-gradle-plugin25.0.0 - 25.0.11≥25.0.12com.vaadin:flow-gradle-plugin25.1.0 - 25.1.4≥25.1.5

Solusi CVE

Users of affected versions should apply the following mitigation or upgrade.

Informasi CVE

Kelemahan Terkait

CWE-ID Nama Kelemahan Sumber
CWE-209 Generation of Error Message Containing Sensitive Information
The product generates an error message that includes sensitive information about its environment, users, or associated data.

Metrik

Metrik Skor Tingkat keparahan CVSS Vektor Sumber
V4.0 1.6 LOW CVSS:4.0/AV:L/AC:H/AT:P/PR:L/UI:P/VC:H/VI:N/VA:N/SC:H/SI:H/SA:N/E:U/S:N/AU:N/R:A/V:C/RE:L/U:Green

Base: Exploitabilty Metrics

The Exploitability metrics reflect the characteristics of the “thing that is vulnerable”, which we refer to formally as the vulnerable system.

Attack Vector

This metric reflects the context by which vulnerability exploitation is possible.

Local

The vulnerable system is not bound to the network stack and the attacker’s path is via read/write/execute capabilities. Either: the attacker exploits the vulnerability by accessing the target system locally (e.g., keyboard, console), or through terminal emulation (e.g., SSH); or the attacker relies on User Interaction by another person to perform actions required to exploit the vulnerability (e.g., using social engineering techniques to trick a legitimate user into opening a malicious document).

Attack Complexity

This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit.

High

The successful attack depends on the evasion or circumvention of security-enhancing techniques in place that would otherwise hinder the attack. These include: Evasion of exploit mitigation techniques. The attacker must have additional methods available to bypass security measures in place. For example, circumvention of address space randomization (ASLR) or data execution prevention (DEP) must be performed for the attack to be successful. Obtaining target-specific secrets. The attacker must gather some target-specific secret before the attack can be successful. A secret is any piece of information that cannot be obtained through any amount of reconnaissance. To obtain the secret the attacker must perform additional attacks or break otherwise secure measures (e.g. knowledge of a secret key may be needed to break a crypto channel). This operation must be performed for each attacked target.

Attack Requirements

This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack.

Present

The successful attack depends on the presence of specific deployment and execution conditions of the vulnerable system that enable the attack. These include: A race condition must be won to successfully exploit the vulnerability. The successfulness of the attack is conditioned on execution conditions that are not under full control of the attacker. The attack may need to be launched multiple times against a single target before being successful. Network injection. The attacker must inject themselves into the logical network path between the target and the resource requested by the victim (e.g. vulnerabilities requiring an on-path attacker).

Privileges Required

This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability.

Low

The attacker requires privileges that provide basic capabilities that are typically limited to settings and resources owned by a single low-privileged user. Alternatively, an attacker with Low privileges has the ability to access only non-sensitive resources.

User Interaction

This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system.

Passive

Successful exploitation of this vulnerability requires limited interaction by the targeted user with the vulnerable system and the attacker’s payload. These interactions would be considered involuntary and do not require that the user actively subvert protections built into the vulnerable system. Examples include: utilizing a website that has been modified to display malicious content when the page is rendered (most stored XSS or CSRF) running an application that calls a malicious binary that has been planted on the system using an application which generates traffic over an untrusted or compromised network (vulnerabilities requiring an on-path attacker)

Base: Impact Metrics

The Impact metrics capture the effects of a successfully exploited vulnerability. Analysts should constrain impacts to a reasonable, final outcome which they are confident an attacker is able to achieve.

Confidentiality Impact

This metric measures the impact to the confidentiality of the information managed by the system due to a successfully exploited vulnerability.

High

There is a total loss of confidentiality, resulting in all information within the Vulnerable System being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server.

Integrity Impact

This metric measures the impact to integrity of a successfully exploited vulnerability.

None

There is no loss of integrity within the Vulnerable System.

Availability Impact

This metric measures the impact to the availability of the impacted system resulting from a successfully exploited vulnerability.

None

There is no impact to availability within the Vulnerable System.

Sub Confidentiality Impact

High

There is a total loss of confidentiality, resulting in all resources within the Subsequent System being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server.

Sub Integrity Impact

High

There is a total loss of integrity, or a complete loss of protection. For example, the attacker is able to modify any/all files protected by the Subsequent System. Alternatively, only some files can be modified, but malicious modification would present a direct, serious consequence to the Subsequent System.

Sub Availability Impact

None

There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable System.

Threat Metrics

The Threat metrics measure the current state of exploit techniques or code availability for a vulnerability.

Exploit Code Maturity

This metric measures the likelihood of the vulnerability being attacked, and is based on the current state of exploit techniques, exploit code availability, or active, 'in-the-wild' exploitation.

Unreported

Based on available threat intelligence each of the following must apply: No knowledge of publicly available proof-of-concept exploit code No knowledge of reported attempts to exploit this vulnerability No knowledge of publicly available solutions used to simplify attempts to exploit the vulnerability (i.e., neither the “POC” nor “Attacked” values apply)

Environmental Metrics

These metrics enable the consumer analyst to customize the resulting score depending on the importance of the affected IT asset to a user’s organization, measured in terms of complementary/alternative security controls in place, Confidentiality, Integrity, and Availability. The metrics are the modified equivalent of Base metrics and are assigned values based on the system placement within organizational infrastructure.

Supplemental Metrics

Supplemental metric group provides new metrics that describe and measure additional extrinsic attributes of a vulnerability. While the assessment of Supplemental metrics is provisioned by the provider, the usage and response plan of each metric within the Supplemental metric group is determined by the consumer.

Automatable

The “Automatable” metric captures the answer to the question ”Can an attacker automate exploitation events for this vulnerability across multiple targets?” based on steps 1-4 of the kill chain2 [Hutchins et al., 2011]. These steps are reconnaissance, weaponization, delivery, and exploitation. If evaluated, the metric can take the values no or yes.

No

Attackers cannot reliably automate all 4 steps of the kill chain for this vulnerability for some reason. These steps are reconnaissance, weaponization, delivery, and exploitation.

Recovery

Recovery describes the resilience of a system to recover services, in terms of performance and availability, after an attack has been performed.

Automatic

The system recovers services automatically after an attack has been performed.

Safety

Like all Supplemental Metrics, providing a value for Safety is completely optional. Suppliers and vendors (AKA: scoring providers) may or may not provide Safety as a Supplemental Metric as they see fit.

Negligible

Consequences of the vulnerability meet definition of IEC 61508 consequence category 'negligible'.

Value Density

Value Density describes the resources that the attacker will gain control over with a single exploitation event. It has two possible values, diffuse and concentrated:

Concentrated

The vulnerable system is rich in resources. Heuristically, such systems are often the direct responsibility of “system operators” rather than users. An example of Concentrated (think: broad) Value Density would be an attack on a central email server.

Vulnerability Response Effort

The intention of the Vulnerability Response Effort metric is to provide supplemental information on how difficult it is for consumers to provide an initial response to the impact of vulnerabilities for deployed products and services in their infrastructure.

Low

The effort required to respond to a vulnerability is low/trivial. Examples include: communication on better documentation, configuration workarounds, or guidance from the vendor that does not require an immediate update, upgrade, or replacement by the consuming entity, such as firewall filter configuration.

Provider Urgency

Many vendors currently provide supplemental severity ratings to consumers via product security advisories.

Green

Provider has assessed the impact of this vulnerability as having a reduced urgency.

EPSS

EPSS adalah model penilaian yang memprediksi kemungkinan suatu kerentanan dieksploitasi.

Skor EPSS

Model EPSS menghasilkan skor probabilitas antara 0 dan 1 (0 hingga 100%). Semakin tinggi skor, semakin besar probabilitas bahwa suatu kerentanan akan dieksploitasi.

Persentil EPSS

Persentil digunakan untuk meranking CVE berdasarkan skor EPSS mereka. Misalnya, CVE di persentil ke-95 berdasarkan skor EPSS-nya lebih mungkin dieksploitasi daripada 95% CVE lainnya. Dengan demikian, persentil digunakan untuk membandingkan skor EPSS suatu CVE dengan CVE lainnya.

Referensi