CVE-2025-12058 Vulnerability Analysis & Exploit Details

CVE-2025-12058
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-2025-12058 Details

Status: Awaiting Analysis

Last updated: 🕒 30 Oct 2025, 15:03 UTC
Originally published on: 🕘 29 Oct 2025, 09:15 UTC

Time between publication and last update: 1 days

CVSS Release:

CVE-2025-12058 Vulnerability Summary

CVE-2025-12058: The Keras.Model.load_model method, including when executed with the intended security mitigation safe_mode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery (SSRF). This vulnerability stems from the way the StringLookup layer is handled during model loading from a specially crafted .keras archive. The constructor for the StringLookup layer accepts a vocabulary argument that can specify a local file path or a remote file path. * Arbitrary Local File Read: An attacker can create a malicious .keras file that embeds a local path in the StringLookup layer's configuration. When the model is loaded, Keras will attempt to read the content of the specified local file and incorporate it into the model state (e.g., retrievable via get_vocabulary()), allowing an attacker to read arbitrary local files on the hosting system. * Server-Side Request Forgery (SSRF): Keras utilizes tf.io.gfile for file operations. Since tf.io.gfile supports remote filesystem handlers (such as GCS and HDFS) and HTTP/HTTPS protocols, the same mechanism can be leveraged to fetch content from arbitrary network endpoints on the server's behalf, resulting in an SSRF condition. The security issue is that the feature allowing external path loading was not properly restricted by the safe_mode=True flag, which was intended to prevent such unintended data access.

Assessing the Risk of CVE-2025-12058

Access Complexity Graph

The exploitability of CVE-2025-12058 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-2025-12058

No exploitability data is available for CVE-2025-12058.

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-2025-12058, 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-2025-12058, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: None
    CVE-2025-12058 does not compromise confidentiality.
  • Integrity: None
    CVE-2025-12058 does not impact data integrity.
  • Availability: None
    CVE-2025-12058 does not affect system availability.

CVE-2025-12058 References

External References

CWE Common Weakness Enumeration

CWE-502

CAPEC Common Attack Pattern Enumeration and Classification

  • Object Injection CAPEC-586 An adversary attempts to exploit an application by injecting additional, malicious content during its processing of serialized objects. Developers leverage serialization in order to convert data or state into a static, binary format for saving to disk or transferring over a network. These objects are then deserialized when needed to recover the data/state. By injecting a malformed object into a vulnerable application, an adversary can potentially compromise the application by manipulating the deserialization process. This can result in a number of unwanted outcomes, including remote code execution.

Protect Your Infrastructure against CVE-2025-12058: Combat Critical CVE Threats

Stay updated with real-time CVE vulnerabilities and take action to secure your systems. Enhance your cybersecurity posture with the latest threat intelligence and mitigation techniques. Develop the skills necessary to defend against CVEs and secure critical infrastructures. Join the top cybersecurity professionals safeguarding today's infrastructures.

Other 5 Recently Published CVEs Vulnerabilities

  • CVE-2025-9558 – There is a potential OOB Write vulnerability in the gen_prov_start function in pb_adv.c. The full length of the received data is copied into the li...
  • CVE-2025-9557 – ‭An out-of-bound write can lead to an arbitrary code execution. Even on devices with some form of memory protection, this can still lead to‬ ‭a cra...
  • CVE-2025-59820 – In KDE Krita before 5.2.13, loading a manipulated TGA file could result in a heap-based buffer overflow in plugins/impex/tga/kis_tga_import.cpp (ak...
  • CVE-2025-55174 – In KDE Skanpage before 25.08.0, an attempt at file overwrite can result in the contents of the new file at the beginning followed by the partial co...
  • CVE-2025-12061 – The TAX SERVICE Electronic HDM WordPress plugin before 1.2.1 does not authorization and CSRF checks in an AJAX action, allowing unauthenticated use...