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CVE Vulnerability Database
Vulnerability Database/CVE-2026-1612

CVE-2026-1612: AL-KO Robolinho Information Disclosure

CVE-2026-1612 is an information disclosure vulnerability in AL-KO Robolinho Update Software involving hard-coded AWS credentials that expose cloud storage. This article covers technical details, affected versions, and mitigation.

Published: April 2, 2026

CVE-2026-1612 Overview

CVE-2026-1612 is a hardcoded credentials vulnerability affecting the AL-KO Robolinho Update Software. The application contains hard-coded AWS Access and Secret keys embedded directly in the software, allowing unauthorized access to AL-KO's AWS bucket. This security flaw enables attackers to leverage the embedded credentials to access cloud resources, potentially gaining greater access than the application itself was designed to provide. The keys grant at minimum read access to some objects stored in the affected S3 bucket.

Critical Impact

Hard-coded AWS credentials in the AL-KO Robolinho Update Software expose cloud storage resources to unauthorized access. Attackers can extract these credentials and access AL-KO's AWS infrastructure, potentially leading to data theft, unauthorized resource consumption, or further lateral movement within the cloud environment.

Affected Products

  • AL-KO Robolinho Update Software version 8.0.21.0610 (confirmed vulnerable)
  • Other versions of AL-KO Robolinho Update Software (not tested, potentially vulnerable)

Discovery Timeline

  • 2026-03-30 - CVE CVE-2026-1612 published to NVD
  • 2026-03-30 - Last updated in NVD database

Technical Details for CVE-2026-1612

Vulnerability Analysis

This vulnerability falls under CWE-798 (Use of Hard-coded Credentials), a severe security anti-pattern where sensitive authentication credentials are embedded directly into application code or configuration files. In the case of the AL-KO Robolinho Update Software, AWS Access Keys and Secret Keys are statically embedded within the application, making them trivially extractable through reverse engineering or static analysis.

The embedded credentials provide access to AL-KO's AWS infrastructure, specifically granting at least read permissions to objects within an S3 bucket. However, depending on the IAM policy associated with these credentials, attackers may potentially have broader access than the application's intended functionality requires—a common consequence of over-provisioned credentials combined with hard-coded secrets.

The vendor was notified about this vulnerability but did not respond with details regarding the vulnerability scope or the complete range of affected versions. Only version 8.0.21.0610 was tested and confirmed vulnerable.

Root Cause

The root cause is the insecure software development practice of embedding static AWS credentials directly into the application codebase. Rather than implementing secure credential management mechanisms such as environment variables, IAM roles, or secrets management services, the developers chose to hard-code the credentials. This approach fundamentally violates the principle of least privilege and secure credential storage best practices, as credentials embedded in distributed software become accessible to anyone with access to the application binary.

Attack Vector

An attacker can exploit this vulnerability by obtaining a copy of the AL-KO Robolinho Update Software (version 8.0.21.0610 or potentially other versions) and performing static analysis or reverse engineering to extract the embedded AWS credentials. Common techniques include:

  1. Searching binary strings for AWS key patterns (keys typically begin with AKIA for access keys)
  2. Decompiling or disassembling the application to locate credential initialization code
  3. Monitoring network traffic to capture credentials transmitted to AWS services

Once extracted, the AWS Access Key and Secret Key can be configured in the AWS CLI or SDK to authenticate to AWS services. The attacker would then have the same level of access as the credentials permit, enabling unauthorized read access to S3 bucket contents at minimum. For detailed technical analysis, refer to the CERT Poland CVE-2026-1612 Analysis.

Detection Methods for CVE-2026-1612

Indicators of Compromise

  • Unexpected or unauthorized API calls to AL-KO's AWS resources from unrecognized IP addresses
  • AWS CloudTrail logs showing access from geographic locations inconsistent with normal operations
  • Multiple failed or successful authentication attempts using the compromised credentials from different sources
  • Unusual data access patterns or bulk downloads from the affected S3 bucket

Detection Strategies

  • Monitor AWS CloudTrail for API activity associated with the compromised access keys
  • Implement AWS GuardDuty to detect anomalous credential usage patterns
  • Review application binaries using static analysis tools to identify embedded credentials before deployment
  • Scan network traffic for AWS credential patterns being transmitted or accessed

Monitoring Recommendations

  • Enable detailed CloudTrail logging for all S3 and IAM-related API calls
  • Configure AWS Config rules to detect publicly accessible buckets and overly permissive IAM policies
  • Set up CloudWatch alarms for unusual access patterns or elevated API call volumes
  • Implement automated credential rotation and monitoring for any potentially compromised keys

How to Mitigate CVE-2026-1612

Immediate Actions Required

  • If you are an AL-KO Robolinho user, check for available software updates from the vendor
  • Contact AL-KO directly to inquire about patched versions or remediation guidance
  • Consider limiting network access for devices running the vulnerable software until a patch is available
  • Monitor for any signs of unauthorized access to systems connected to AL-KO services

Patch Information

The vendor has not publicly responded with remediation details or confirmed vulnerable version ranges. Users should monitor the CERT Poland advisory for updates and contact AL-KO support directly for patch availability information.

Workarounds

  • Implement network segmentation to isolate IoT devices running the vulnerable software from critical network resources
  • Apply firewall rules to restrict outbound connections from affected devices to only necessary AWS endpoints
  • Monitor network traffic from devices running the AL-KO Robolinho Update Software for suspicious activity
  • Consider disabling automatic updates until a secure version is confirmed available

For organizations concerned about hard-coded credentials in their software supply chain, implementing application security testing as part of procurement processes can help identify similar issues before deployment.

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechAl Ko

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.04%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-798
  • Technical References
  • CERT Poland CVE-2026-1612 Analysis
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