VulnerabilityPublished 16 Dec 2025

CVE-2025-14780: Xiongwei Smart Catering Cloud Platform · SQL Injection

Affects Xiongwei Smart Catering Cloud PlatformSource CVE Database V5

Public exploit available · CVSS 5.3 Medium.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 4.0 base score

5.3Medium

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.2% chance of exploitation in 30 days – higher than 13% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P

Base metrics

Attack Vector: Network
Attack Complexity: Low
Attack Requirements: None
Privileges Required: Low
User Interaction: None
Vulnerable system confidentiality: Low
Vulnerable system integrity: Low
Vulnerable system availability: Low
Subsequent system confidentiality: None
Subsequent system integrity: None
Subsequent system availability: None

Threat metrics

Exploit Maturity: POC

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable system is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: The attacker must take no measurable action to exploit the vulnerability. The attack requires no target-specific circumvention to exploit the vulnerability. An attacker can expect repeatable success against the vulnerable system.
Attack Requirements: None: The successful attack does not depend on the deployment and execution conditions of the vulnerable system. The attacker can expect to be able to reach the vulnerability and execute the exploit under all or most instances of the vulnerability.
Privileges Required: Low: The attacker requires privileges that provide basic capabilities that are typically limited to settings and resources owned by a single low-privileged user. Alternatively, an attacker with Low privileges has the ability to access only non-sensitive resources.
User Interaction: None: The vulnerable system can be exploited without interaction from any human user, other than the attacker.
Vulnerable system confidentiality: Low: There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the Vulnerable System.
Vulnerable system integrity: Low: Modification of data is possible, but the attacker does not have control over the consequence of a modification, or the amount of modification is limited. The data modification does not have a direct, serious impact to the Vulnerable System.
Vulnerable system availability: Low: Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the Vulnerable System are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the Vulnerable System.
Subsequent system confidentiality: None: There is no loss of confidentiality within the Subsequent System or all confidentiality impact is constrained to the Vulnerable System.
Subsequent system integrity: None: There is no loss of integrity within the Subsequent System or all integrity impact is constrained to the Vulnerable System.
Subsequent system availability: None: There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable System.
Exploit Maturity: POC: Based on threat intelligence sources each of the following must apply: · Proof-of-concept is publicly available · No knowledge of reported attempts to exploit this vulnerability · No knowledge of publicly available solutions used to simplify attempts to exploit the vulnerability

Definitions: FIRST CVSS v4.0 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 16 Dec 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: evidence found.
CVSS exploit maturity: proof of concept public
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), CVSS vector, the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Affected software

Product	Affected	Fixed in
GitHubzhangbuneng/3`pkg:github/zhangbuneng/3`Other threats	Affected =2.1.6446.28761	Fixed in–

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AI-suggested

Monitor Xiongwei vendor channels closely for official patches or updates addressing CVE-2025-14780 and apply them promptly upon release.
Implement strict input validation and sanitization on all parameters, especially the 'filter' argument in the /dishtrade/dish_trade_detail_get endpoint, to prevent injection of malicious SQL code.
Employ web application firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting this endpoint.
Restrict access to the affected endpoint and enforce the principle of least privilege, ensuring that only authorized users with necessary roles can access it.
Conduct regular security audits and code reviews focusing on input handling and database query construction.
Monitor database logs and application logs for unusual query patterns or errors indicative of injection attempts.
Educate internal teams about the risks of SQL injection and the importance of secure coding practices.
Consider network segmentation to isolate the catering platform from other critical infrastructure to limit lateral movement in case of compromise.

Description

CVE-2025-14780 is a medium-severity SQL injection vulnerability in Xiongwei Smart Catering Cloud Platform version 2.1.6446.28761. The flaw exists in an unspecified function within the /dishtrade/dish_trade_detail_get endpoint, where manipulation of the 'filter' parameter allows remote attackers to inject SQL commands. Exploitation requires no user interaction but does require low-level privileges. Although no public exploits are currently observed in the wild, the exploit code has been publicly disclosed, increasing the risk of attacks. The vulnerability can lead to partial compromise of confidentiality, integrity, and availability of the affected system. European organizations using this platform, especially in countries with significant adoption of Xiongwei products or large catering/cloud service sectors, could be impacted. Mitigation involves applying vendor patches once available, implementing strict input validation, and monitoring database queries for anomalies.

Impact

For European organizations, this vulnerability could lead to unauthorized access to sensitive catering transaction data, customer information, and operational details stored in the affected platform's database. This could result in data breaches, loss of customer trust, regulatory non-compliance (e.g., GDPR violations), and potential financial losses. Integrity violations could disrupt business operations by altering order or transaction records, leading to incorrect billing or inventory management. Availability impacts, while rated low, could still cause service interruptions if attackers exploit the vulnerability to execute destructive SQL commands. Organizations in Europe with deployments of Xiongwei Smart Catering Cloud Platform, especially those handling large volumes of customer data or integrated with other critical business systems, face increased risk. The medium severity rating suggests that while the vulnerability is not critical, it is exploitable and could be leveraged as part of a broader attack chain. The public availability of exploit code raises the likelihood of opportunistic attacks, particularly from threat actors targeting the hospitality and catering sectors.

References

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