CVE-2025-59716 Vulnerability Analysis & Exploit Details

CVE-2025-59716
Vulnerability Scoring

5.3
/10
Significant Risk

Security assessments indicate that CVE-2025-59716 presents a notable risk, potentially requiring prompt mitigation.

Attack Complexity Details

  • Attack Complexity: Low
    Exploits can be performed without significant complexity or special conditions.
  • Attack Vector: Network
    Vulnerability is exploitable over a network without physical access.
  • Privileges Required: None
    No privileges are required for exploitation.
  • Scope: Unchanged
    Exploit remains within the originally vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2025-59716 Details

Status: Awaiting Analysis

Last updated: 🕢 06 Nov 2025, 19:45 UTC
Originally published on: 🕔 05 Nov 2025, 17:15 UTC

Time between publication and last update: 1 days

CVSS Release: version 3

CVSS3 Source

134c704f-9b21-4f2e-91b3-4a467353bcc0

CVSS3 Type

Secondary

CVSS3 Vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

CVE-2025-59716 Vulnerability Summary

CVE-2025-59716: ownCloud Guests before 0.12.5 allows unauthenticated user enumeration via the /apps/guests/register/{email}/{token} endpoint. Because of insufficient validation of the supplied token in showPasswordForm, the server responds differently when an e-mail address corresponds to a valid pending guest user rather than a non-existent user.

Assessing the Risk of CVE-2025-59716

Access Complexity Graph

The exploitability of CVE-2025-59716 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-2025-59716

With low attack complexity and no required privileges, CVE-2025-59716 is an easy target for cybercriminals. Organizations should prioritize immediate mitigation measures to prevent unauthorized access and data breaches.

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-2025-59716, 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-2025-59716, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: Low
    CVE-2025-59716 could lead to minor leaks of non-critical information without major privacy breaches.
  • Integrity: None
    CVE-2025-59716 poses no threat to data integrity.
  • Availability: None
    CVE-2025-59716 does not impact system availability.

CVE-2025-59716 References

External References

CWE Common Weakness Enumeration

CWE-203

CAPEC Common Attack Pattern Enumeration and Classification

  • Black Box Reverse Engineering CAPEC-189 An adversary discovers the structure, function, and composition of a type of computer software through black box analysis techniques. 'Black Box' methods involve interacting with the software indirectly, in the absence of direct access to the executable object. Such analysis typically involves interacting with the software at the boundaries of where the software interfaces with a larger execution environment, such as input-output vectors, libraries, or APIs. Black Box Reverse Engineering also refers to gathering physical side effects of a hardware device, such as electromagnetic radiation or sounds.

Protect Your Infrastructure against CVE-2025-59716: Combat Critical CVE Threats

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