CVE-2025-10252VulnerabilityPublished 11 Sep 2025

CVE-2025-10252: SEAT Queue Ticket Kiosk · Deserialization

Affects SEAT Queue Ticket KioskSource CVE Database V5

Not known to be exploited · CVSS 2.3 Low.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 4.0 base score

2.3Low

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

EPSS: 0.2% chance of exploitation in 30 days – higher than 15% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

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

Base metrics

Attack Vector: Adjacent
Attack Complexity: High
Attack Requirements: None
Privileges Required: None
User Interaction: None
Vulnerable system confidentiality: Low
Vulnerable system integrity: None
Vulnerable system availability: None
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: Adjacent: The vulnerable system is bound to a protocol stack, but the attack is limited at the protocol level to a logically adjacent topology. This can mean an attack must be launched from the same shared proximity (e.g., Bluetooth, NFC, or IEEE 802.11) or logical network (e.g., local IP subnet), or from within a secure or otherwise limited administrative domain (e.g., MPLS, secure VPN within an administrative network zone).
Attack Complexity: High: The successful attack depends on the evasion or circumvention of security-enhancing techniques in place that would otherwise hinder the attack. These include: Evasion of exploit mitigation techniques, for example, circumvention of address space randomization (ASLR) or data execution prevention (DEP) must be performed for the attack to be successful; Obtaining target-specific secrets. The attacker must gather some target-specific secret before the attack can be successful. A secret is any piece of information that cannot be obtained through any amount of reconnaissance. To obtain the secret the attacker must perform additional attacks or break otherwise secure measures (e.g. knowledge of a secret key may be needed to break a crypto channel). This operation must be performed for each attacked target.
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: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.
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: None: There is no loss of integrity within the Vulnerable System.
Vulnerable system availability: None: There is no impact to availability within 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 11 Sep 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
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), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

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 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
SEAT Queue Ticket Kiosk	Affected =20250827	Fixed in–

AI-suggested

Given the absence of official patches, European organizations should implement network segmentation to isolate SEAT Queue Ticket Kiosk systems from general user networks, restricting access to trusted devices only. Employ strict access controls and monitoring on local networks to detect unauthorized devices or suspicious activity. Disable or restrict Java RMI services if not essential, or apply runtime protections such as Java security manager policies to limit deserialization operations. Conduct regular network scans and vulnerability assessments to identify exposed kiosk systems. Additionally, consider deploying host-based intrusion detection systems (HIDS) on kiosk devices to monitor for anomalous behavior indicative of exploitation attempts. Organizations should also engage with SEAT for updates and monitor security advisories for patches or mitigations. Finally, implement strong physical security controls to prevent unauthorized local network access.

Description

A flaw has been found in SEAT Queue Ticket Kiosk up to 20250827. This affects an unknown part of the component Java RMI Registry Handler. This manipulation causes deserialization. The attack can only be done within the local network. The attack is considered to have high complexity. It is indicated that the exploitability is difficult. The vendor was contacted early about this disclosure but did not respond in any way.

Impact

For European organizations deploying SEAT Queue Ticket Kiosk systems, particularly in environments such as public transport stations, event venues, or customer service centers, this vulnerability poses a localized risk. An attacker with local network access could exploit the deserialization flaw to disrupt kiosk operations, potentially causing service interruptions or unauthorized manipulation of ticketing processes. While the impact on confidentiality and integrity is low, availability could be affected if the kiosk system is destabilized. The limited attack vector reduces the risk of large-scale attacks, but insider threats or attackers gaining local network access (e.g., via compromised devices or Wi-Fi access) could leverage this vulnerability. Organizations in Europe with high-density public venues or critical infrastructure using these kiosks should be aware of the potential for localized disruption. The lack of vendor response and patches increases the risk of prolonged exposure.

References

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