Author: Ameeba

  • CVE-2025-10265: Digiever NVR OS Command Injection Vulnerability

    Overview

    The CVE-2025-10265 is a critical vulnerability discovered in certain models of Network Video Recorders (NVR) developed by Digiever. This vulnerability has the potential to allow authenticated remote attackers to inject arbitrary Operating System (OS) commands that can be executed on the device. Given that NVRs are typically used for surveillance purposes, such a breach could potentially result in unauthorized access to sensitive data, posing a significant threat to user privacy and security.
    The significance of this vulnerability cannot be overstated. With an increasing number of businesses and individuals relying on surveillance systems for security, the compromise of such systems not only poses risks of data theft but also threatens physical security by disrupting surveillance operations.

    Vulnerability Summary

    CVE ID: CVE-2025-10265
    Severity: High (8.8 CVSS Severity Score)
    Attack Vector: Network
    Privileges Required: Low
    User Interaction: Required
    Impact: System compromise and potential data leakage

    Affected Products

    Product | Affected Versions

    Digiever NVR | All versions prior to vendor patch

    How the Exploit Works

    The exploit operates by utilizing the OS Command Injection vulnerability in the Digiever NVR. Once the attacker has authenticated access, they can inject arbitrary OS commands into the system. This is typically done via the device’s web interface, which does not sufficiently sanitize user-supplied inputs. These unsanitized inputs can then be executed by the system, allowing the attacker to execute arbitrary commands, potentially leading to system compromise or data leakage.

    Conceptual Example Code

    Here’s a conceptual example of how an HTTP request exploiting this vulnerability might look. Bear in mind, this is only a hypothetical example for illustration purposes:

    POST /nvr_interface HTTP/1.1
    Host: target.example.com
    Content-Type: application/json
    Authorization: Bearer <authenticated_token>
    { "os_command": "; rm -rf /" }

    In this example, the malicious `os_command` value is prefixed with a semicolon, which allows it to run as a separate command in many operating systems. The command `rm -rf /` is a destructive command that, if executed, would delete all files on the system.

    Mitigation Guidance

    To mitigate the vulnerability, users of affected models are strongly advised to apply the vendor patch as soon as it becomes available. As a temporary mitigation measure until the patch can be applied, users can employ a Web Application Firewall (WAF) or Intrusion Detection System (IDS) to help detect and prevent attempts to exploit this vulnerability.

  • CVE-2025-21043: Critical libimagecodec.quram.so Out-of-bounds Write Vulnerability

    Overview

    CVE-2025-21043 is a critical security vulnerability that has been identified in the libimagecodec.quram.so library. The vulnerability is of an ‘Out-of-bounds write’ type, which allows remote attackers to execute arbitrary code on the compromised system. This vulnerability poses a significant threat to all systems using the affected library versions prior to SMR Sep-2025 Release 1. Given the severity of the situation, it is crucial to understand this vulnerability, its potential impact, and the ways to mitigate it.

    Vulnerability Summary

    CVE ID: CVE-2025-21043
    Severity: Critical (CVSS: 8.8)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: System compromise, potential data leakage

    Affected Products

    Product | Affected Versions

    libimagecodec.quram.so | Prior to SMR Sep-2025 Release 1

    How the Exploit Works

    The vulnerability stems from an out-of-bounds write error within the libimagecodec.quram.so library. An attacker can exploit this vulnerability by sending a specially crafted request to an application using the affected library. This request triggers an out-of-bounds write, which can lead to memory corruption. The attacker can leverage this corruption to execute arbitrary code, potentially gaining control over the system or leaking sensitive data.

    Conceptual Example Code

    Below is a conceptual example of how an attacker might exploit this vulnerability. This should give a sense of the potential risk, although actual exploitation would likely be more complex.

    POST /vulnerable/endpoint HTTP/1.1
    Host: target.example.com
    Content-Type: application/json
    {
    "malicious_payload": "specially_crafted_data_that_triggers_out_of_bounds_write"
    }

    Mitigation and Prevention

    The most effective way to mitigate this vulnerability is to apply the vendor patch. The patch, released in SMR Sep-2025 Release 1, fixes the out-of-bounds write error, preventing potential exploits.
    In cases where immediate patching is not possible, organizations can use a Web Application Firewall (WAF) or Intrusion Detection System (IDS) as a temporary mitigation measure. These systems can detect and block suspicious requests, reducing the risk of successful exploitation. However, they should not be considered a long-term solution, as they might not catch all attempts to exploit the vulnerability, leaving systems at risk.

  • CVE-2025-10392: Critical Buffer Overflow Vulnerability in Mercury KM08-708H GiGA WiFi Wave2

    Overview

    CVE-2025-10392 is a critical vulnerability discovered in Mercury KM08-708H GiGA WiFi Wave2 version 1.1.14. The vulnerability lies within an unidentified function of the HTTP Header Handler component. It is triggered by manipulating the ‘Host’ argument, resulting in a stack-based buffer overflow. This vulnerability is critical due to its potential for remote exploitation, which could lead to a system compromise or data leakage. Given the severity of the vulnerability and its potential impact on users, it’s imperative that organizations take immediate steps to mitigate this risk.

    Vulnerability Summary

    CVE ID: CVE-2025-10392
    Severity: Critical (CVSS: 9.8)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: System compromise or data leakage

    Affected Products

    Product | Affected Versions

    Mercury KM08-708H GiGA WiFi Wave2 | 1.1.14

    How the Exploit Works

    The exploit takes advantage of a vulnerability in the HTTP Header Handler of Mercury KM08-708H GiGA WiFi Wave2. Specifically, it manipulates the ‘Host’ argument in a way that causes a stack-based buffer overflow. This overflow can potentially overwrite crucial system data or function pointers, which could result in arbitrary code execution. This could allow an attacker to remotely take over the system or cause data leakage.

    Conceptual Example Code

    A conceptual example of exploiting this vulnerability might look like this:

    GET / HTTP/1.1
    Host: target.example.com { A*60000 }

    In this example, the ‘Host’ field is overloaded with a string of ‘A’ characters. If the length of this string exceeds the buffer size allocated for the ‘Host’ argument, it will cause a buffer overflow. In a real-world scenario, an attacker could replace the ‘A’ characters with malicious code to execute a successful exploit.

    Mitigation Guidance

    The best mitigation strategy is to apply the vendor patch as soon as it becomes available. Until then, organizations can use a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) as a temporary mitigation option. These tools can help detect and block attempts to exploit this vulnerability. Additionally, organizations should monitor their network traffic for any unusual activities or attempts to exploit this vulnerability.

  • CVE-2025-21042: A Critical Remote Code Execution Vulnerability in libimagecodec.quram.so

    Overview

    CVE-2025-21042 is a severe cybersecurity vulnerability that poses a substantial risk to digital systems and data worldwide. It is found in the libimagecodec.quram.so software component, where an out-of-bounds write error could allow remote attackers to execute arbitrary code. In a world increasingly connected by the internet, such a vulnerability has the potential to impact a wide range of products and services that incorporate this component. This vulnerability is especially concerning because it can potentially lead to system compromise and data leakage, posing a significant threat to data privacy and integrity.

    Vulnerability Summary

    CVE ID: CVE-2025-21042
    Severity: Critical (CVSS: 8.8)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: Required
    Impact: Remote Code Execution, Possible system compromise and data leakage

    Affected Products

    Product | Affected Versions

    libimagecodec.quram.so | Prior to SMR Apr-2025 Release 1

    How the Exploit Works

    The vulnerability lies in an out-of-bounds write error in the libimagecodec.quram.so component. In simple terms, an out-of-bounds write occurs when data is written past the end or before the beginning of an intended buffer, which can corrupt data, crash the program, or enable the execution of malicious code. In this case, a remote attacker could exploit this vulnerability by sending specially crafted data to the affected system. The improper handling of this data by libimagecodec.quram.so could allow the attacker to execute arbitrary code on the system, potentially leading to a full system compromise.

    Conceptual Example Code

    Below is a conceptual example of a malicious HTTP request that might exploit this vulnerability. The actual exploit would depend on the specific use case and environment.

    POST /exploit/cve-2025-21042 HTTP/1.1
    Host: target.example.com
    Content-Type: application/octet-stream
    { "overflow_data": "AAAAAAAAAAAAAAAAAAAAAAAAAA...[more overflow data]" }

    In this example, the “overflow_data” is crafted to cause an out-of-bounds write in the libimagecodec.quram.so component. This could potentially overwrite critical data or code in memory, leading to arbitrary code execution.

    Mitigation

    The best way to mitigate this vulnerability is to apply the vendor’s patch for libimagecodec.quram.so as soon as possible. If immediate patching is not possible, temporary mitigation can be achieved by using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) to detect and block attempts to exploit this vulnerability. However, these measures only provide temporary protection and do not remove the vulnerability from the affected system. Therefore, patching should be performed as soon as it is feasible.

  • CVE-2025-55319: Command Injection Vulnerability in Agentic AI and Visual Studio Code

    Overview

    The vulnerability identified as CVE-2025-55319 is a critical security flaw that affects Agentic AI and Visual Studio Code. This vulnerability allows an unauthorized attacker to execute arbitrary code over a network, posing a significant risk to the integrity and confidentiality of the affected systems. Given the widespread use of Visual Studio Code and Agentic AI in various sectors, this vulnerability could have severe implications if left unaddressed.

    Vulnerability Summary

    CVE ID: CVE-2025-55319
    Severity: High (8.8)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: Potential system compromise or data leakage

    Affected Products

    Product | Affected Versions

    Agentic AI | All versions prior to the patch
    Visual Studio Code | All versions prior to the patch

    How the Exploit Works

    The vulnerability exploits the way Agentic AI and Visual Studio Code handle AI commands. Through a crafted AI command, an attacker can inject malicious code that the systems execute inadvertently. This is possible because the affected systems fail to sanitize or properly validate the AI commands received over the network. This allows the attacker to execute unauthorized commands, potentially leading to system compromise or data leakage.

    Conceptual Example Code

    The following pseudocode illustrates a conceptual example of how this vulnerability might be exploited:

    POST /ai_command HTTP/1.1
    Host: target.example.com
    Content-Type: application/json
    { "ai_command": "; rm -rf / --no-preserve-root ;" }

    In this example, the attacker sends a malicious AI command (`; rm -rf / –no-preserve-root ;`) that, if executed, would remove all files in the system. The semicolons act as command separators, tricking the system into executing the malicious command as part of a legitimate AI command.

    Mitigation

    To mitigate this vulnerability, users of Agentic AI and Visual Studio Code should immediately apply the vendor’s patch. In the absence of a patch, a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can be used as temporary mitigation. These systems should be configured to block or alert on AI commands that contain suspicious or malicious payloads.

  • CVE-2025-8557: Manipulation Vulnerability in Lenovo XClarity Orchestrator

    Overview

    The CVE-2025-8557 is a serious vulnerability discovered in Lenovo’s XClarity Orchestrator (LXCO) product, where an attacker with local network access may create an alternate communication channel. This vulnerability poses a significant risk for organizations using LXCO, as it could potentially lead to unauthorized access to backend API services and data. Given the CVSS severity score of 8.8, this vulnerability demands immediate attention and mitigation.

    Vulnerability Summary

    CVE ID: CVE-2025-8557
    Severity: High (8.8)
    Attack Vector: Local network
    Privileges Required: Low
    User Interaction: None
    Impact: Unauthorized access to backend services and potential data leakage

    Affected Products

    Product | Affected Versions

    Lenovo XClarity Orchestrator | All versions prior to the patch

    How the Exploit Works

    An attacker with access to a local device on the LXCO network segment could exploit this vulnerability by manipulating the local device to create an alternate communication channel. This channel could subsequently be used to interact with backend LXCO API services, which are typically inaccessible to users. Even though access controls might limit the scope of interaction, the attacker could potentially gain unauthorized access to internal functionality or data. It is important to note that this issue is not exploitable from remote networks.

    Conceptual Example Code

    The following
    conceptual
    example demonstrates how the vulnerability might be exploited:

    # This is a conceptual example, it does not represent an actual exploit
    def exploit():
    # Gain access to a local device
    local_device = gain_access(device_id)
    # Create alternate communication channel
    alt_channel = create_channel(local_device)
    # Interact with backend LXCO API services
    response = interact_with_backend(alt_channel, "GET", "/internal/data")
    # Extract sensitive data
    sensitive_data = extract_data(response)
    return sensitive_data

    The above example shows a conceptual code where the attacker firstly gains access to the local device, creates an alternate communication channel, interacts with the backend services, and finally extracts sensitive data.

    Mitigation and Recommendations

    As a first immediate action, organizations should apply the vendor-provided patch to fix this vulnerability. If the patch cannot be applied immediately, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) could serve as a temporary mitigation. It is also recommended to review and tighten network access controls to limit the potential impact of similar vulnerabilities in the future.

  • CVE-2025-9018: Unauthorized Modification and Data Loss Vulnerability in Time Tracker Plugin for WordPress

    Overview

    This blog post focuses on the critical vulnerability CVE-2025-9018, a significant security issue found in the Time Tracker Plugin for WordPress. The vulnerability lies in its ability to allow for unauthorized modification and loss of data, which puts multiple WordPress sites at a high risk. The presence of this vulnerability in a widely-used plugin like Time Tracker underlines its potential severity and the need for immediate mitigation.
    The flaw affects all versions up to, and including, 3.1.0 of the plugin and potentially exposes websites to system compromise and data leakage. Given WordPress’s popularity as a content management system, this vulnerability could impact a significant number of websites, making this issue both critical and broadly applicable.

    Vulnerability Summary

    CVE ID: CVE-2025-9018
    Severity: High (8.8)
    Attack Vector: Network
    Privileges Required: Low (Subscriber level)
    User Interaction: Required
    Impact: Unauthorized modification and deletion of data, potential system compromise and data leakage

    Affected Products

    Product | Affected Versions

    Time Tracker Plugin for WordPress | Up to 3.1.0

    How the Exploit Works

    The vulnerability stems from a missing capability check on the ‘tt_update_table_function’ and ‘tt_delete_record_function’ functions in the Time Tracker Plugin for WordPress. This omission allows authenticated attackers with Subscriber-level access and above to execute unauthorized modifications. They can update user registration options and default roles, which allows anyone to register as an Administrator. Additionally, they can delete limited data from the database.

    Conceptual Example Code

    Here is a conceptual example of how the vulnerability might be exploited using an HTTP POST request:

    POST /wp-admin/admin-ajax.php?action=tt_update_table_function HTTP/1.1
    Host: target.example.com
    Content-Type: application/x-www-form-urlencoded
    user_registration=1&default_role=administrator

    This conceptual example sends a POST request that attempts to change the user registration to open and sets the default role to administrator. If successful, this would allow anyone to create an administrator account on the WordPress site, leading to unauthorized access and potential data loss.

    Mitigation and Patch

    As a mitigation strategy, users are advised to apply the vendor patch as soon as it becomes available. Until then, using a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) can provide temporary mitigation. It’s also recommended to revoke any suspiciously gained administrative privileges and monitor your website for any unusual activity.

  • CVE-2025-45583: Incorrect Access Control in Audi UTR 2.0 FTP Protocol

    Overview

    The CVE-2025-45583 vulnerability is a critical security flaw found in the FTP protocol of Audi UTR 2.0 Universal Traffic Recorder. This vulnerability allows potential attackers to authenticate into the FTP service using any combination of username and password, which exposes the system to a high risk of unauthorized access, system compromise, or data leakage.
    As a cybersecurity concern that affects all users of the Audi UTR 2.0 Universal Traffic Recorder, it is crucial for all stakeholders to understand this vulnerability, its potential impact, and the steps for mitigation. In the wrong hands, this vulnerability could lead to significant damage, which makes its immediate resolution a top priority.

    Vulnerability Summary

    CVE ID: CVE-2025-45583
    Severity: Critical (9.1 CVSS Score)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: Potential system compromise or data leakage

    Affected Products

    Product | Affected Versions

    Audi UTR 2.0 Universal Traffic Recorder | All versions

    How the Exploit Works

    The exploit works by taking advantage of the incorrect access control in the FTP protocol of the Audi UTR 2.0 Universal Traffic Recorder. The flaw allows an attacker, regardless of the credentials they use, to authenticate into the system. This is because the system does not correctly verify the authenticity of the presented credentials during the login process. Consequently, malicious actors can gain unauthorized access to the system, leading to potential system compromise or data leakage.

    Conceptual Example Code

    Below is a conceptual representation of how this vulnerability might be exploited using an FTP client:

    ftp target.example.com
    > User: any_username
    > Password: any_password
    > Login Successful

    In this conceptual example, `any_username` and `any_password` represent any combination of username and password that an attacker might use. Despite the inaccuracy of these credentials, the system incorrectly grants access, thus demonstrating the vulnerability.

  • CVE-2025-8699: Exploitation of “Stored Value” NFC Cards Vulnerability in KioSoft Payment Solutions

    Overview

    This blog post delves into the CVE-2025-8699 vulnerability identified in certain “Stored Value” Unattended Payment Solutions offered by KioSoft. This vulnerability stands out due to the potential abuse of NFC (Near Field Communication) cards’ insecure storage of account balances, potentially allowing attackers to manipulate these balances to their advantage. Given the ubiquity of NFC cards in modern payment systems, this vulnerability could have far-reaching implications for individuals and businesses alike.

    Vulnerability Summary

    CVE ID: CVE-2025-8699
    Severity: Critical (9.1 CVSS Score)
    Attack Vector: Physical
    Privileges Required: None
    User Interaction: Required
    Impact: Potential System Compromise and Data Leakage

    Affected Products

    Product | Affected Versions

    KioSoft Unattended Payment Solutions | All versions using insecure MiFare Classic NFC cards

    How the Exploit Works

    The exploit works by manipulating the data stored on the NFC card. The NFC card used in these KioSoft solutions is a MiFare Classic card, which has a known vulnerability where the stored data can be read and written back. By observing changes in card dumps, an attacker can identify the fields storing the cash value and a checksum. The checksum is created by XOR-ing the cash value with an unknown field and a certain value. Once these fields are identified, the attacker can update them to load arbitrary amounts of money onto the card, up to $655.35.

    Conceptual Example Code

    Given the physical nature of this exploit, traditional example code like HTTP requests or shell commands won’t be applicable. Instead, let’s provide a simplified pseudocode representation of the process:

    card_data = ReadNFCData(card)
    cash_value_field = IdentifyCashValueField(card_data)
    checksum_field = IdentifyChecksumField(card_data)
    new_cash_value = ArbitraryValue(up to $655.35)
    updated_card_data = UpdateCardData(card_data, cash_value_field, new_cash_value)
    updated_checksum = CalculateChecksum(updated_card_data, checksum_field)
    WriteNFCData(card, updated_card_data, updated_checksum)

    Mitigation Guidance

    To mitigate this vulnerability, users are recommended to apply the vendor patch once it becomes available. Until then, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) could serve as a temporary mitigation. These systems can help identify and block attempts to exploit vulnerabilities, providing an additional layer of security in the interim.

  • CVE-2025-58434: Unauthenticated Password Reset Exploit in Flowise

    Overview

    CVE-2025-58434 is a serious vulnerability found in the `forgot-password` endpoint of Flowise, a drag & drop user interface used to build customized large language model flows. In earlier versions, specifically version 3.0.5 and below, this endpoint has been found to return sensitive information, including a valid password reset `tempToken`, without any form of authentication or verification. This vulnerability paves the way for potential attackers to generate a reset token for any user, thereby enabling them to reset the user’s password and take over the account. This vulnerability is especially significant given Flowise’s widespread use in both cloud service (`cloud.flowiseai.com`) and self-hosted/local deployments.

    Vulnerability Summary

    CVE ID: CVE-2025-58434
    Severity: Critical (9.8)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: Potential system compromise or data leakage

    Affected Products

    Product | Affected Versions

    Flowise Cloud Service | ≤ 3.0.5
    Flowise Self-Hosted/Local Deployments | ≤ 3.0.5

    How the Exploit Works

    The exploit takes advantage of the `forgot-password` endpoint in Flowise. As the endpoint doesn’t require any form of authentication or verification, an attacker simply has to send a password reset request for any arbitrary user. The system then returns a valid `tempToken` in the API response, which the attacker can use to reset the password of the targeted user, leading to a complete account takeover.

    Conceptual Example Code

    Here’s a conceptual example of how this vulnerability might be exploited, using a simple HTTP POST request:

    POST /api/forgot-password HTTP/1.1
    Host: cloud.flowiseai.com
    Content-Type: application/json
    {
    "username": "targeted.user@example.com"
    }

    In the above example, the attacker sends a password reset request for the targeted user’s account. The server responds with a `tempToken`, which can then be used to reset the user’s password, potentially leading to unauthorized access and a complete account takeover. The actual returned `tempToken` will vary, and the attacker would use it in a subsequent request to reset the password.

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