Vulnerability Scan Result

Vulnerability description

Risk description

The risk is that an attacker could search for an appropriate exploit (or create one himself) for any of these vulnerabilities and use it to attack the system. Since the vulnerabilities were discovered using only version-based testing, the risk level for this finding will not exceed 'high' severity. Critical risks will be assigned to vulnerabilities identified through accurate active testing methods.

Recommendation

In order to eliminate the risk of these vulnerabilities, we recommend you check the installed software version and upgrade to the latest version.

Vulnerability description

Risk description

The risk is that if a user visits a web page (e.g. "http://example.com/pricing/") and clicks on a link from that page going to e.g. "https://www.google.com", the browser will send to Google the full originating URL in the `Referer` header, assuming the Referrer-Policy header is not set. The originating URL could be considered sensitive information and it could be used for user tracking.

Recommendation

The Referrer-Policy header should be configured on the server side to avoid user tracking and inadvertent information leakage. The value `no-referrer` of this header instructs the browser to omit the Referer header entirely.

Vulnerability description

Risk description

The risk is that lack of this header permits an attacker to force a victim user to initiate a clear-text HTTP connection to the server, thus opening the possibility to eavesdrop on the network traffic and extract sensitive information (e.g. session cookies).

Recommendation

The Strict-Transport-Security HTTP header should be sent with each HTTPS response. The syntax is as follows: `Strict-Transport-Security: max-age=<seconds>[; includeSubDomains]` The parameter `max-age` gives the time frame for requirement of HTTPS in seconds and should be chosen quite high, e.g. several months. A value below 7776000 is considered as too low by this scanner check. The flag `includeSubDomains` defines that the policy applies also for sub domains of the sender of the response.

Vulnerability description

Risk description

The risk is that lack of this header could make possible attacks such as Cross-Site Scripting or phishing in Internet Explorer browsers.

Recommendation

We recommend setting the X-Content-Type-Options header such as `X-Content-Type-Options: nosniff`.

Vulnerability description

Risk description

The risk is that if the target application is vulnerable to XSS, lack of this header makes it easily exploitable by attackers.

Recommendation

Configure the Content-Security-Header to be sent with each HTTP response in order to apply the specific policies needed by the application.

Vulnerability description

Risk description

The risk is that an attacker could use this information to mount specific attacks against the identified software type and version.

Recommendation

We recommend you to eliminate the information which permits the identification of software platform, technology, server and operating system: HTTP server headers, HTML meta information, etc.

Vulnerability description

Vulnerability description

Risk description

There is no particular risk in not having a security.txt file for your server. However, this file is important because it offers a designated channel for reporting vulnerabilities and security issues.

Recommendation

We recommend you to implement the security.txt file according to the standard, in order to allow researchers or users report any security issues they find, improving the defensive mechanisms of your server.

Vulnerability description

Risk description

The only risk this might present nowadays is revealing debug HTTP methods that can be used on the server. This can present a danger if any of those methods can lead to sensitive information, like authentication information, secret keys.

Recommendation

We recommend that you check for unused HTTP methods or even better, disable the OPTIONS method. This can be done using your webserver configuration.

Vulnerability description

Risk description

Emails that fail DMARC checks are still delivered to recipients. This leaves the domain highly vulnerable to email spoofing and phishing attacks, as malicious actors can impersonate the domain without facing any consequences from DMARC enforcement.

Recommendation

We recommend changing the DMARC policy to p=quarantine or, ideally, p=reject to actively block or quarantine emails that fail DMARC validation. This will enhance the security of your domain against spoofing and phishing attacks by ensuring that only legitimate emails are delivered.

Vulnerability description

Risk description

Without a subdomain policy (sp directive) in the DMARC record, subdomains are not protected by the same DMARC enforcement as the main domain, leaving them vulnerable to spoofing attacks. This inconsistency can be exploited by attackers to send phishing emails from subdomains, undermining the organization’s overall email security.

Recommendation

To mitigate the risk, we recommend configuring the DMARC record with a subdomain policy by adding the sp=reject or sp=quarantine directive. This will extend DMARC enforcement to all subdomains, preventing spoofing attempts and maintaining consistent security across both the main domain and its subdomains.

Vulnerability description

Risk description

The absence of rua reporting creates a significant blind spot in the domain's email security posture. Without aggregate reports, domain administrators cannot track DMARC compliance across email sent from their domain, leaving them unaware of potential misconfigurations or unauthorized use of their domain for malicious purposes, such as phishing or spoofing. This lack of visibility increases the risk of undetected spoofing attempts, which could damage the domain's reputation and lead to financial, operational, or reputational harm. Moreover, legitimate email issues, such as misaligned SPF or DKIM configurations, may also go unnoticed, affecting email deliverability.

Recommendation

We recommend configuring the rua tag in the DMARC record to receive aggregate reports from mail servers. This tag should point to a reliable email address or monitoring service capable of handling DMARC aggregate reports, such as rua=mailto:dmarc-reports@example.com. These reports provide valuable insights into how email from the domain is being treated by receiving mail servers, highlighting potential authentication issues and attempts to spoof the domain. Regularly reviewing these reports will help ensure the DMARC policy is properly enforced and that any email authentication failures are addressed in a timely manner.

Vulnerability description

Risk description

Without forensic reports (ruf), domain owners have limited visibility into the specifics of failed DMARC validation. This means potential malicious activity, such as email spoofing or phishing attempts, might go unnoticed until they result in more significant security breaches or reputational damage. Forensic reports allow for quick response to email abuses by providing detailed information about the failure, including the header information of the emails involved. The absence of this data hampers an organization's ability to identify and mitigate threats targeting its domain, increasing the risk of ongoing spoofing and fraud.

Recommendation

We recommend configuring the ruf tag in the DMARC record. This tag specifies where forensic reports should be sent, providing the domain owner with detailed data on DMARC validation failures. Forensic reports allow administrators to analyze why certain emails failed authentication, making it easier to fine-tune DMARC policies or address potential vulnerabilities. Ensure that the ruf email address belongs to a secure and trusted location capable of handling sensitive email data.

Vulnerability description

Risk description

Using a common DKIM selector makes it easier for attackers to predict and exploit email authentication weaknesses. Attackers may attempt to find corresponding DKIM keys or improperly managed records associated with common selectors. If a common selector is coupled with a weak key length or poor key management practices, it significantly increases the likelihood of email spoofing and phishing attacks.

Recommendation

We recommend using unique, customized selectors for each DKIM key to make it more difficult for attackers to predict and target the domain's DKIM records. Regularly rotate selectors and associated keys to further strengthen the security of your domain's email authentication infrastructure.

Risk description

An initial step for an attacker aiming to learn about an organization involves conducting searches on its domain names to uncover DNS records associated with the organization. This strategy aims to amass comprehensive insights into the target domain, enabling the attacker to outline the organization's external digital landscape. This gathered intelligence may subsequently serve as a foundation for launching attacks, including those based on social engineering techniques. DNS records pointing to services or servers that are no longer in use can provide an attacker with an easy entry point into the network.

Recommendation

We recommend reviewing all DNS records associated with the domain and identifying and removing unused or obsolete records.

Vulnerability description

Vulnerability description

Risk description

The risk is that an attacker could use this information to mount specific attacks against the identified software type and version.

Recommendation

We recommend you to eliminate the information which permits the identification of software platform, technology, server and operating system: HTTP server headers, HTML meta information, etc.

Vulnerability description

Risk description

The risk is that an attacker could use this information to mount specific attacks against the identified software type and version.

Recommendation

We recommend you to eliminate the information which permits the identification of software platform, technology, server and operating system: HTTP server headers, HTML meta information, etc.