CVE-2025-57776: CWE-1285 Improper Validation of Specified Index, Position, or Offset in Input in Digilent DASYLab
There is an out of bounds write vulnerability due to improper bounds checking resulting in an invalid address when parsing a DSB file with Digilent DASYLab. This vulnerability may result in arbitrary code execution. Successful exploitation requires an attacker to get a user to open a specially crafted DSB file. The vulnerability affects all versions of DASYLab.
AI Analysis
Technical Summary
CVE-2025-57776 is a high-severity vulnerability identified in Digilent's DASYLab software, which is used for data acquisition and control applications. The vulnerability arises from improper validation of specified index, position, or offset in input data, classified under CWE-1285. Specifically, when parsing a DSB file—a proprietary file format used by DASYLab—there is an out-of-bounds write due to insufficient bounds checking. This flaw can cause the software to write data to an invalid memory address, potentially leading to arbitrary code execution. Exploitation requires an attacker to convince a user to open a specially crafted malicious DSB file. The vulnerability affects all versions of DASYLab, indicating a systemic issue in the file parsing logic. The CVSS v3.1 score is 7.8, reflecting high impact on confidentiality, integrity, and availability, with low attack complexity but requiring user interaction and local access (local vector). No patches have been published yet, and there are no known exploits in the wild at this time. The vulnerability's exploitation could allow attackers to execute arbitrary code with the privileges of the user running DASYLab, potentially leading to system compromise, data theft, or disruption of critical data acquisition processes.
Potential Impact
For European organizations, especially those in industrial automation, research institutions, and engineering sectors that rely on DASYLab for data acquisition and control, this vulnerability poses significant risks. Successful exploitation could lead to unauthorized code execution, enabling attackers to manipulate or disrupt critical measurement and control systems. This could result in data corruption, loss of operational integrity, and potential downtime of essential processes. Confidentiality breaches could expose sensitive experimental or operational data. Given that DASYLab is often used in environments where precision and reliability are paramount, such as laboratories and manufacturing plants, the impact on operational continuity and safety could be severe. Additionally, the requirement for user interaction (opening a malicious file) means that phishing or social engineering campaigns could be leveraged to deliver the exploit, increasing the attack surface. The lack of patches further exacerbates the risk until mitigations are applied.
Mitigation Recommendations
European organizations should implement several specific measures beyond generic advice: 1) Restrict the use of DSB files to trusted sources only, implementing strict file validation and scanning mechanisms to detect malformed or suspicious DSB files before opening. 2) Employ application whitelisting and sandboxing techniques for DASYLab to limit the impact of potential code execution. 3) Educate users on the risks of opening unsolicited or unexpected DSB files, emphasizing cautious handling of email attachments and downloads. 4) Monitor and log DASYLab usage and file access patterns to detect anomalies indicative of exploitation attempts. 5) If possible, run DASYLab with the least privilege necessary to reduce the potential damage from exploitation. 6) Engage with Digilent for updates or patches and consider temporary mitigation such as disabling DSB file parsing features if feasible. 7) Implement network segmentation to isolate systems running DASYLab from critical infrastructure to contain potential breaches.
Affected Countries
Germany, France, United Kingdom, Italy, Netherlands, Sweden, Switzerland, Belgium
CVE-2025-57776: CWE-1285 Improper Validation of Specified Index, Position, or Offset in Input in Digilent DASYLab
Description
There is an out of bounds write vulnerability due to improper bounds checking resulting in an invalid address when parsing a DSB file with Digilent DASYLab. This vulnerability may result in arbitrary code execution. Successful exploitation requires an attacker to get a user to open a specially crafted DSB file. The vulnerability affects all versions of DASYLab.
AI-Powered Analysis
Technical Analysis
CVE-2025-57776 is a high-severity vulnerability identified in Digilent's DASYLab software, which is used for data acquisition and control applications. The vulnerability arises from improper validation of specified index, position, or offset in input data, classified under CWE-1285. Specifically, when parsing a DSB file—a proprietary file format used by DASYLab—there is an out-of-bounds write due to insufficient bounds checking. This flaw can cause the software to write data to an invalid memory address, potentially leading to arbitrary code execution. Exploitation requires an attacker to convince a user to open a specially crafted malicious DSB file. The vulnerability affects all versions of DASYLab, indicating a systemic issue in the file parsing logic. The CVSS v3.1 score is 7.8, reflecting high impact on confidentiality, integrity, and availability, with low attack complexity but requiring user interaction and local access (local vector). No patches have been published yet, and there are no known exploits in the wild at this time. The vulnerability's exploitation could allow attackers to execute arbitrary code with the privileges of the user running DASYLab, potentially leading to system compromise, data theft, or disruption of critical data acquisition processes.
Potential Impact
For European organizations, especially those in industrial automation, research institutions, and engineering sectors that rely on DASYLab for data acquisition and control, this vulnerability poses significant risks. Successful exploitation could lead to unauthorized code execution, enabling attackers to manipulate or disrupt critical measurement and control systems. This could result in data corruption, loss of operational integrity, and potential downtime of essential processes. Confidentiality breaches could expose sensitive experimental or operational data. Given that DASYLab is often used in environments where precision and reliability are paramount, such as laboratories and manufacturing plants, the impact on operational continuity and safety could be severe. Additionally, the requirement for user interaction (opening a malicious file) means that phishing or social engineering campaigns could be leveraged to deliver the exploit, increasing the attack surface. The lack of patches further exacerbates the risk until mitigations are applied.
Mitigation Recommendations
European organizations should implement several specific measures beyond generic advice: 1) Restrict the use of DSB files to trusted sources only, implementing strict file validation and scanning mechanisms to detect malformed or suspicious DSB files before opening. 2) Employ application whitelisting and sandboxing techniques for DASYLab to limit the impact of potential code execution. 3) Educate users on the risks of opening unsolicited or unexpected DSB files, emphasizing cautious handling of email attachments and downloads. 4) Monitor and log DASYLab usage and file access patterns to detect anomalies indicative of exploitation attempts. 5) If possible, run DASYLab with the least privilege necessary to reduce the potential damage from exploitation. 6) Engage with Digilent for updates or patches and consider temporary mitigation such as disabling DSB file parsing features if feasible. 7) Implement network segmentation to isolate systems running DASYLab from critical infrastructure to contain potential breaches.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- NI
- Date Reserved
- 2025-08-19T16:50:56.823Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 68b7384fad5a09ad00e77f08
Added to database: 9/2/2025, 6:32:47 PM
Last enriched: 9/2/2025, 6:48:11 PM
Last updated: 9/2/2025, 7:32:48 PM
Views: 2
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HighActions
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