CVE-2026-105283 Vulnerability Analysis & Exploit Details

CVE-2026-105283
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-2026-105283 Details

Status: Received on 12 Oct 2026, 12:17 UTC

Published on: 12 Oct 2026, 12:17 UTC

CVSS Release:

CVE-2026-105283 Vulnerability Summary

CVE-2026-105283: Generation of Error Message Containing Sensitive Information vulnerability in ash-project ash_typescript allows an unauthenticated attacker to read internal Elixir terms from an RPC error response by provoking an error the error builder has no dedicated clause for. AshTypescript.Rpc.ErrorBuilder.build_error_response/1 in lib/ash_typescript/rpc/error_builder.ex renders a pipeline error term that matches no specific clause with inspect/1 and places the result in details.error of the client-facing error. Ash exceptions take a separate path in AshTypescript.Rpc.Errors where unhandled cases are redacted behind an errorId, but these fallbacks have no redaction, so whatever the term carries reaches the HTTP or channel response. Two request paths hand it such terms: a struct-typed action argument with an invalid nested value, where cast_map_to_struct/2 in lib/ash_typescript/rpc/input_formatter.ex throws the raw Ash.Type cast error into the builder, and field selection on a generic action that returns a primitive, where format_field_type/1 inspects the full Ash.Info.Manifest.Type struct into vars.returnType. Resource module names in vars.resource are not treated as sensitive and are out of scope. This issue affects ash_typescript: from 0.1.0 before 0.19.1.

Assessing the Risk of CVE-2026-105283

Access Complexity Graph

The exploitability of CVE-2026-105283 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-2026-105283

No exploitability data is available for CVE-2026-105283.

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-2026-105283, 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-2026-105283, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: None
    CVE-2026-105283 does not compromise confidentiality.
  • Integrity: None
    CVE-2026-105283 does not impact data integrity.
  • Availability: None
    CVE-2026-105283 does not affect system availability.

CVE-2026-105283 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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