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CWE-345 (对数据真实性的验证不充分) — Vulnerability Class 312

312 vulnerabilities classified as CWE-345 (对数据真实性的验证不充分). AI Chinese analysis included.

CWE-345 represents a critical integrity weakness where software fails to adequately verify the origin or authenticity of incoming data, leading to the acceptance of invalid or malicious inputs. Attackers typically exploit this vulnerability by injecting spoofed or tampered information, tricking the application into processing untrusted sources as legitimate. This can result in severe consequences, including data corruption, unauthorized access, or system compromise, as the software blindly trusts the manipulated payload. To mitigate this risk, developers must implement robust cryptographic verification mechanisms, such as digital signatures or message authentication codes, to ensure data integrity. Additionally, strict input validation and secure communication protocols like TLS should be employed to authenticate data sources. By rigorously validating the provenance of all external inputs, organizations can prevent attackers from exploiting trust assumptions and maintain the overall security posture of their systems against integrity-based attacks.

MITRE CWE Description
The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data.
Common Consequences (1)
Integrity, OtherVaries by Context, Unexpected State
Examples (1)
In 2022, the OT:ICEFALL study examined products by 10 different Operational Technology (OT) vendors. The researchers reported 56 vulnerabilities and said that the products were "insecure by design" [REF-1283]. If exploited, these vulnerabilities often allowed adversaries to change how the products operated, ranging from denial of service to changing the code that the products executed. Since these…

Vulnerabilities classified as CWE-345 (对数据真实性的验证不充分) represent 312 CVEs. The CWE taxonomy describes the weakness; review individual CVEs for product-specific impact.