CVE-2023-2500
Published: 25 May 2023
Summary
CVE-2023-2500 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Granthweb Go Pricing. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 17.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-33984
Vulnerability details
The Go Pricing - WordPress Responsive Pricing Tables plugin for WordPress is vulnerable to PHP Object Injection in versions up to, and including, 3.3.19 via deserialization of untrusted input from the 'go_pricing' shortcode 'data' parameter. This allows authenticated attackers, with…
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subscriber-level permissions and above, to inject a PHP Object. No POP chain is present in the vulnerable plugin. If a POP chain is present via an additional plugin or theme installed on the target system, it could allow the attacker to delete arbitrary files, retrieve sensitive data, or execute code.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.