Author: Ameeba

  • CVE-2025-6971: Use After Free Vulnerability in SOLIDWORKS eDrawings Leading to Arbitrary Code Execution

    Overview

    The world of cybersecurity is no stranger to various forms of vulnerabilities, with CVE-2025-6971 serving as one of the more recent examples. This vulnerability, a Use After Free vulnerability, exists in the CATPRODUCT file reading procedure in SOLIDWORKS eDrawings on Release SOLIDWORKS Desktop 2025. In essence, this vulnerability could potentially allow an attacker to execute arbitrary code while opening a specially crafted CATPRODUCT file. This primarily affects users and organizations that utilize SOLIDWORKS eDrawings for their operations, and it poses a significant threat due to its potential for system compromise and data leakage.

    Vulnerability Summary

    CVE ID: CVE-2025-6971
    Severity: High (7.8 CVSS Score)
    Attack Vector: Local
    Privileges Required: None
    User Interaction: Required
    Impact: System compromise, potential data leakage

    Affected Products

    Product | Affected Versions

    SOLIDWORKS eDrawings | Desktop 2025

    How the Exploit Works

    The vulnerability in the CATPRODUCT file reading procedure arises when it attempts to access memory after it has been freed, which is what is known as a “Use After Free” vulnerability. An attacker can take advantage of this by crafting a malicious CATPRODUCT file that, when opened in SOLIDWORKS eDrawings, triggers the vulnerability and allows the attacker to execute arbitrary code on the affected system.

    Conceptual Example Code

    While a specific exploit code for this vulnerability is not provided to prevent misuse, a conceptual example could look something like this:

    # Create a malicious CATPRODUCT file
    echo 'malicious code' > exploit.catproduct
    # Transfer the file to the target system
    scp exploit.catproduct user@target:/path/to/directory
    # The exploit is triggered when the user opens the file in SOLIDWORKS eDrawings

    In this pseudocode example, the attacker creates a malicious CATPRODUCT file containing the arbitrary code to be executed. The file is then transferred to the target system. When a user on the target system opens this file in SOLIDWORKS eDrawings, the vulnerability is triggered and the arbitrary code is executed.

    Mitigation Guidance

    To mitigate this vulnerability, users of the affected versions of SOLIDWORKS eDrawings are advised to apply the vendor-released patch. In situations where the patch cannot be applied immediately, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can serve as a temporary mitigation method. These systems can help to monitor network traffic for malicious activity and block or alert on any detected threats. Additionally, users should be cautious when opening files from untrusted sources, as these may contain malicious content designed to exploit this vulnerability.

  • CVE-2025-0831: Out-Of-Bounds Read Vulnerability in SOLIDWORKS eDrawings

    Overview

    The cybersecurity world faces yet another challenge in the form of an Out-Of-Bounds Read vulnerability identified as CVE-2025-0831. This critical security flaw resides in the JT file reading procedure in SOLIDWORKS eDrawings, a popular CAD and 3D design software. It affects SOLIDWORKS Desktop 2025 release, leaving a vast number of users and businesses potentially exposed to cyber attacks. The gravity of this vulnerability lies in its ability to enable an attacker to execute arbitrary code, potentially leading to system compromise or data leakage.

    Vulnerability Summary

    CVE ID: CVE-2025-0831
    Severity: High (7.8 CVSS Score)
    Attack Vector: Local
    Privileges Required: None
    User Interaction: Required
    Impact: System compromise, data leakage

    Affected Products

    Product | Affected Versions

    SOLIDWORKS Desktop | 2025

    How the Exploit Works

    This vulnerability arises from an out-of-bounds read error during the process of opening a JT file in SOLIDWORKS eDrawings. By crafting a malicious JT file, an attacker can exploit this error to cause a buffer overflow. This overflow can then be leveraged to execute arbitrary code on the victims’ system, potentially leading to system compromise or data leakage.

    Conceptual Example Code

    While the actual exploit code may vary significantly, the following pseudocode serves as a conceptual representation of how an attacker might craft a malicious JT file:

    malicious_payload = overflow_buffer() + arbitrary_code()
    malicious_jt_file = craft_jt_file(malicious_payload)
    send_file(malicious_jt_file, target_user)

    In this pseudocode, the `overflow_buffer()` function creates a payload that causes a buffer overflow when read, and the `arbitrary_code()` function appends malicious code that is executed due to the overflow. The `craft_jt_file()` function then embeds this payload into a JT file, which is sent to the target user.

    Mitigation

    The best mitigation strategy is to apply the patch provided by the vendor, which is designed to rectify this specific vulnerability. If the patch cannot be applied immediately, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can offer temporary mitigation by detecting and blocking attempts to exploit this vulnerability. However, these measures are not foolproof and should be considered a stopgap solution until the patch can be applied. Always ensure your systems are updated regularly to protect against such vulnerabilities.

  • CVE-2025-7564: Critical Vulnerability in LB-LINK BL-AC3600 1.0.22 Leads to Hard-Coded Credentials Exposure

    Overview

    A significant security flaw has been uncovered within the LB-LINK BL-AC3600 1.0.22 router software. The vulnerability, identified as CVE-2025-7564, has been classified as critical, affecting unknown functionality of the /etc/shadow file within the software. This vulnerability matters because it allows for manipulation of the root:blinkadmin input, leading to the exposure of hard-coded credentials. This could potentially provide unauthorized users with access to the system, resulting in a severe security breach. The exploit has been publicly disclosed, and despite the vendor being notified, no response or solution has been provided.

    Vulnerability Summary

    CVE ID: CVE-2025-7564
    Severity: Critical (7.8)
    Attack Vector: Local
    Privileges Required: None
    User Interaction: Required
    Impact: System compromise, data leakage

    Affected Products

    Product | Affected Versions

    LB-LINK BL-AC3600 | 1.0.22

    How the Exploit Works

    The vulnerability exists due to an insecure mechanism of handling input within the /etc/shadow file of LB-LINK BL-AC3600 1.0.22 software. The flaw allows a local user to manipulate the root:blinkadmin input, revealing hard-coded credentials. These credentials provide unauthorized access to the system and can lead to data leakage and potential system compromise.

    Conceptual Example Code

    In this scenario, a local user could potentially exploit this vulnerability through a command-line interface. The following is a conceptual representation of how this could be executed:

    $ echo 'root:blinkadmin' >> /etc/shadow
    $ su - root
    Password: [hard-coded password]
    #

    In this example, the attacker appends ‘root:blinkadmin’ to the /etc/shadow file and then attempts to switch to the root user using the disclosed hard-coded password. If successful, the attacker gains root access to the system, leading to a potential system compromise.

    Mitigation Guidance

    Due to the lack of a vendor-supplied patch, users are advised to implement a Web Application Firewall (WAF) or Intrusion Detection System (IDS) as temporary mitigation. These measures can help detect and block attempts to exploit this vulnerability. Users should also stay vigilant for any updates or patches released by the vendor to fix this critical flaw in the LB-LINK BL-AC3600 1.0.22 software.

  • CVE-2025-58756: A Critical Deserialization Vulnerability in MONAI AI Toolkit

    Overview

    CVE-2025-58756 is a critical vulnerability discovered in the MONAI (Medical Open Network for AI) toolkit, a popular AI solution for healthcare imaging. This vulnerability, stemming from an insecure loading method, can potentially lead to an attacker executing malicious code, compromising the system and potentially leading to data leaks. This vulnerability is particularly worrisome due to MONAI’s widespread usage in the healthcare sector, making it a prime target for cybercriminals seeking sensitive medical data.

    Vulnerability Summary

    CVE ID: CVE-2025-58756
    Severity: Critical – CVSS 8.8
    Attack Vector: Remote
    Privileges Required: None
    User Interaction: None
    Impact: Potential system compromise and data leakage

    Affected Products

    Product | Affected Versions

    MONAI | Up to and including 1.5.0

    How the Exploit Works

    The vulnerability lies in the way MONAI loads checkpoints. While the `model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)` in monai/bundle/scripts.py is loaded securely, there are other instances in the project where checkpoints are loaded insecurely. This insecure method could be exploited when users attempt to reduce training time and costs by loading pre-trained models downloaded from other platforms. If a malicious actor can manipulate these pre-trained models or checkpoints, they can introduce malicious content that, when loaded, triggers a deserialization vulnerability, leading to arbitrary code execution.

    Conceptual Example Code

    A conceptual example of how this vulnerability might be exploited is an attacker crafting a malicious pre-trained model or checkpoint. When this model is loaded by the victim, the malicious code gets executed. Below is a simplified example:

    # Attacker crafts a model with malicious code
    class MaliciousModel:
    def __reduce__(self):
    return (os.system, ('cat /etc/passwd > /tmp/passwd_copy',))
    checkpoint = {
    'model': MaliciousModel(),
    # other legit data
    }
    # Victim loads the model
    torch.load('malicious_checkpoint.pth')

    In this example, the malicious model, when deserialized, executes the `os.system` function with the argument `’cat /etc/passwd > /tmp/passwd_copy’`, copying the content of `/etc/passwd` to a temporary file.
    Please note that this is a simplified example and the actual exploitation may involve more complex steps and obfuscation techniques.

  • CVE-2025-58755: High-risk Vulnerability in MONAI AI Toolkit Allowing System File Overwrite

    Overview

    The well-regarded MONAI AI Toolkit, widely used for healthcare imaging, has recently been revealed to contain a significant security vulnerability. This vulnerability, identified as CVE-2025-58755, allows malicious actors to manipulate the project’s handling of Zip files to overwrite system files, potentially leading to a full system compromise or data leakage. This issue affects all versions of MONAI up to and including version 1.5.0. As this toolkit is commonly used in healthcare settings, the potential impact on patient data security is of serious concern.

    Vulnerability Summary

    CVE ID: CVE-2025-58755
    Severity: High (8.8 CVSS Score)
    Attack Vector: Network
    Privileges Required: Low
    User Interaction: Required
    Impact: Overwriting of system files leading to potential system compromise and data leakage

    Affected Products

    Product | Affected Versions

    MONAI AI Toolkit | Up to and including version 1.5.0

    How the Exploit Works

    The vulnerability stems from the extractall function, `zip_file.extractall(output_dir)`, used directly to process compressed files. It is used in many places in the project. A malicious actor could create a Zip file with malicious content, and when this file is decompressed using the extractall function, it overwrites system files. The vulnerability’s exploitation is further amplified by the fact that the project allows the download of the zip content through a link.

    Conceptual Example Code

    Below is a conceptual example of how the vulnerability might be exploited, using pseudocode:

    # Create a malicious zip file
    zip_file = ZipFile("malicious.zip", "w")
    zip_file.write("system_file_to_overwrite", arcname="/overwriting_file")
    # The malicious zip file is sent to the server running MONAI.
    # When the server decompresses the zip file, it overwrites the system file.
    zip_file.extractall("/path/to/extract/directory")

    This pseudocode demonstrates how a malicious Zip file could be created and used to overwrite crucial system files when the extractall function is used.

    Mitigation Guidance

    As of the time of publication, no known fixed versions are available for this vulnerability in the MONAI AI Toolkit. Until such a solution is provided, users are encouraged to apply a vendor patch if available, or use a Web Application Firewall (WAF) or Intrusion Detection System (IDS) as temporary mitigation strategies. Users should also exercise caution when downloading and decompressing Zip files, particularly from untrusted sources. Regular system backups and data encryption can further help to mitigate potential damage.

  • CVE-2025-58746: Privilege Escalation Vulnerability in Volkov Labs Business Links Panel for Grafana

    Overview

    In this post, we discuss the recent discovery of a critical vulnerability in the Volkov Labs Business Links panel for Grafana. This vulnerability, identified as CVE-2025-58746, can allow a malicious actor with Editor privileges to escalate their privileges to Administrator, thus potentially compromising the entire system or leading to data leakage. This vulnerability is particularly concerning because of the popularity of Grafana as a data visualization and monitoring tool across different industries.

    Vulnerability Summary

    CVE ID: CVE-2025-58746
    Severity: Critical (CVSS: 9.0)
    Attack Vector: Network
    Privileges Required: Low (Editor Level)
    User Interaction: None
    Impact: System compromise and potential data leakage

    Affected Products

    Product | Affected Versions

    Volkov Labs Business Links panel for Grafana | Versions prior to 2.4.0

    How the Exploit Works

    The vulnerability resides in the plugin’s [Layout] → [Link] → [URL] field. An attacker with editor privileges can inject arbitrary JavaScript code into this field. This code can subsequently be executed to escalate the attacker’s privileges to an administrator level, thereby allowing the attacker to perform arbitrary administrative actions. This could lead to system compromise or data leakage if exploited successfully.

    Conceptual Example Code

    While we won’t provide an exact malicious payload, a conceptual example of exploiting this vulnerability might look something like this:

    POST /api/dashboards/db HTTP/1.1
    Host: grafana-instance.com
    Content-Type: application/json
    Authorization: Bearer {editor's api key}
    {
    "dashboard": {
    "id": null,
    "title": "Malicious Dashboard",
    "panels": [
    {
    "type": "business-links",
    "gridPos": {"x": 0, "y": 0, "w": 24, "h": 8},
    "options": {
    "links": [
    {
    "title": "Malicious Link",
    "url": "javascript:fetch('/api/admin/users/1/permissions', {method: 'POST', body: JSON.stringify({isAdmin: true}), headers: {'Content-Type': 'application/json'}})"
    }
    ]
    }
    }
    ]
    }
    }

    In this conceptual example, the attacker is creating a new dashboard with a link that, when clicked, sends a request to the Grafana API to elevate the user’s permissions to administrator level.

    Remediation

    Users are advised to update to the newest version (2.4.0 or later) of the Volkov Labs Business Links plugin for Grafana as it contains a fix for this issue. As a temporary measure, a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can be used to detect and prevent the exploitation of this vulnerability.

  • CVE-2025-25180: Underprivileged Software Manipulates GPU System Calls for Unauthorized Access

    Overview

    CVE-2025-25180 is a critical vulnerability that allows software run by a non-privileged user to make improper GPU system calls, and consequently gain unauthorized access. This essentially allows the software to manipulate the GPU hardware into arbitrary physical memory page writes. This vulnerability is of particular concern because it can potentially compromise system security or lead to data leakage. It poses a significant threat to any system that relies on the affected software and hardware for its operations.

    Vulnerability Summary

    CVE ID: CVE-2025-25180
    Severity: High (CVSS score of 7.8)
    Attack Vector: Local
    Privileges Required: Low
    User Interaction: Required
    Impact: System compromise or data leakage

    Affected Products

    Product | Affected Versions

    [Product A] | [Version 1.0 to 2.5]
    [Product B] | [Version 3.7 and earlier]

    How the Exploit Works

    The exploit works by taking advantage of the flaw in the GPU system calls. A non-privileged user initiates the software to make improper GPU system calls, which then manipulates the GPU hardware to write to arbitrary physical memory pages. Under certain circumstances, this could be used to corrupt data pages not allocated by the GPU driver but memory pages in use by the kernel and drivers running on the platform, thereby altering their behavior and potentially leading to system compromise or data leakage.

    Conceptual Example Code

    Here is a rough conceptual example of how the vulnerability might be exploited:

    #!/bin/bash
    # Improper GPU system call
    gpu_syscall -write arbitrarymempage

    In this conceptual example, the non-privileged user uses a script to make an improper GPU system call, forcing the GPU to write to an arbitrary memory page. This could lead to the corruption of important system data and potentially compromise the entire system.

    How to Mitigate the Vulnerability

    The best mitigation is to immediately apply the vendor patch as soon as it is available. It is also advisable to use a Web Application Firewall (WAF) or Intrusion Detection System (IDS) as a temporary measure until the patch is applied. These measures will help protect the system from being compromised through this vulnerability.

  • CVE-2025-7028: Exploiting The Software SMI Handler Vulnerability

    Overview

    The world of cybersecurity is a perpetual battleground, with new vulnerabilities being discovered and exploited by malicious actors. A recent example of this is the CVE-2025-7028 vulnerability, a flaw that resides in the Software SMI handler and affects systems using specific versions of firmware. This vulnerability is particularly significant due to its potential to lead to system compromise or data leakage.
    Given its severity score of 7.8, this vulnerability demands immediate attention. It allows an attacker to execute arbitrary read/write access to System Management RAM (SMRAM), corrupt firmware memory, exfiltrate SMRAM content, or install persistent implants. This makes it a critical issue for IT administrators, cybersecurity professionals, and any organization that relies on the affected software.

    Vulnerability Summary

    CVE ID: CVE-2025-7028
    Severity: High (CVSS Score 7.8)
    Attack Vector: Local
    Privileges Required: High
    User Interaction: None
    Impact: System compromise or data leakage

    Affected Products

    Product | Affected Versions

    Software SMI Handler | All versions prior to patch

    How the Exploit Works

    The exploit works by taking advantage of a vulnerability in the Software SMI handler. The attacker provides a crafted pointer (FuncBlock) through RBX and RCX register values. This pointer is then passed unchecked into multiple flash management functions (ReadFlash, WriteFlash, EraseFlash, and GetFlashInfo) that dereference both the structure and its nested members, such as BufAddr. This process enables the attacker to gain arbitrary read/write access to System Management RAM (SMRAM), allowing them to corrupt firmware memory, exfiltrate SMRAM content via flash, or install persistent implants.

    Conceptual Example Code

    Below is a conceptual code snippet illustrating the exploitation of this vulnerability:
    “`c++
    // Conceptual exploit code
    // Craft the pointer
    pointer FuncBlock = craft_pointer();
    // Set the RBX and RCX register values
    set_register_values(RBX, FuncBlock);
    set_register_values(RCX, FuncBlock);
    // Pass the crafted pointer into flash management functions
    ReadFlash(FuncBlock);
    WriteFlash(FuncBlock);
    EraseFlash(FuncBlock);
    GetFlashInfo(FuncBlock);
    // Gain arbitrary read/write access to SMRAM
    access_SMRAM(FuncBlock);
    “`
    The above pseudocode demonstrates the process of crafting a malicious pointer, setting register values, and passing the crafted pointer into flash management functions to gain unauthorized access to SMRAM. It is crucial to understand that this is a simplified representation and actual exploitation would require deeper technical knowledge.

  • CVE-2025-52954: Unauthorized Root Access Vulnerability in Junos OS Evolved

    Overview

    The cybersecurity world is under another threat with a new vulnerability, CVE-2025-52954, a missing authorization anomaly that compromises the Juniper Networks Junos OS Evolved. This vulnerability enables any local, low-privileged user to attain root privileges, leading to a full system compromise.
    The severity of this vulnerability comes from the fact that it affects a wide range of Junos OS Evolved versions. This post will provide a comprehensive overview of the vulnerability, its potential impact, and the mitigation measures that can be taken.

    Vulnerability Summary

    CVE ID: CVE-2025-52954
    Severity: High (CVSS: 7.8)
    Attack Vector: Local
    Privileges Required: Low
    User Interaction: Required
    Impact: System compromise and potential data leakage

    Affected Products

    Product | Affected Versions

    Junos OS Evolved | All versions before 22.2R3-S7-EVO
    Junos OS Evolved | From 22.4 before 22.4R3-S7-EVO
    Junos OS Evolved | From 23.2 before 23.2R2-S4-EVO
    Junos OS Evolved | From 23.4 before 23.4R2-S5-EVO
    Junos OS Evolved | From 24.2 before 24.2R2-S1-EVO
    Junos OS Evolved | From 24.4 before 24.4R1-S2-EVO, 24.4R2-EVO

    How the Exploit Works

    The CVE-2025-52954 vulnerability allows a local, low-privileged user to gain root privileges due to a missing authorization in the internal virtual routing and forwarding (VRF) of Junos OS Evolved. By exploiting this vulnerability, an attacker can execute arbitrary Junos commands and modify the configuration, thus compromising the system.

    Conceptual Example Code

    While no specific example code is available, an attacker exploiting this vulnerability would likely send malicious packets over the internal VRF. In a simplified, conceptual sense, this might look like:

    # Gain low-privileged user access
    $ ssh low_privileged_user@target.system
    # Send malicious packet over internal VRF
    $ echo "{ 'malicious_command': 'gain_root_access' }" | nc -u localhost 12345

    Please note that this is a simplified, conceptual example of how the vulnerability might be exploited. The actual exploitation would likely involve more complex commands and tactics.

    Mitigation Guidance

    To mitigate this vulnerability, it is highly recommended to apply the vendor-supplied patch. If the patch cannot be applied immediately, a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) can be used as a temporary measure to detect and block potential exploitation attempts. Regularly updating and patching your systems can significantly reduce the risk of such vulnerabilities.

  • CVE-2025-53503: Privilege Escalation Vulnerability in Trend Micro Cleaner One Pro

    Overview

    A high severity vulnerability, dubbed as CVE-2025-53503, has been discovered in Trend Micro Cleaner One Pro. This cybersecurity vulnerability could enable a local attacker to unintentionally delete privileged Trend Micro files, including its own. This vulnerability is particularly critical as it could lead to potential system compromise or data leakage, causing significant harm to the integrity and confidentiality of the system. The affected entities include businesses and individual users relying on Trend Micro Cleaner One Pro for their system protection and cleanup needs.

    Vulnerability Summary

    CVE ID: CVE-2025-53503
    Severity: High (7.8 CVSS Score)
    Attack Vector: Local
    Privileges Required: None to Low
    User Interaction: Required
    Impact: Potential system compromise or data leakage

    Affected Products

    Product | Affected Versions

    Trend Micro Cleaner One Pro | All prior versions to the patched release

    How the Exploit Works

    The vulnerability is a Privilege Escalation flaw in the Trend Micro Cleaner One Pro. A local attacker, by exploiting this vulnerability, could unintentionally delete privileged files of Trend Micro, including its own. This could happen if the attacker manages to manipulate the cleaner functionality to target privileged files or directories. The deletion of these critical files could potentially compromise the system or lead to data leakage.

    Conceptual Example Code

    Below is a conceptual example of how an attacker might exploit this vulnerability. This is a simple command line instruction that tricks the cleaning software into deleting its own files.

    # This is a conceptual example and does not represent a real exploit.
    CMD /C "echo Y | DEL /F /Q /A:H C:\Path\to\TrendMicro\*"

    Please note that the above is a conceptual example and should not be attempted on a live system as it could cause harm. The purpose of this example is to illustrate the potential damage that could be achieved by an attacker.

    Recommendations

    Users are urged to apply the vendor patch as soon as it is available. In the meanwhile, it is recommended to use a Web Application Firewall (WAF) or Intrusion Detection System (IDS) as a temporary mitigation measure to protect against potential exploits. These systems can help detect and block attempts to exploit this vulnerability until a permanent fix is applied. It’s also crucial to keep all software up-to-date and regularly check for new patches or updates from software vendors.

Ameeba Chat
Private by Nature

Amorphous. Adaptive. Resilient.

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