Blubrry PowerPress Podcasting Plugin up to 11.18.0 on WordPress HTML5 Video Builder powerpressplayer_build_html5video width HTML injection

CVSS Meta Temp Score
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CTI Interest Score
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4.4$0-$5k0.00+

Summaryinfo

A vulnerability was found in Blubrry PowerPress Podcasting Plugin up to 11.18.0. It has been classified as problematic. The impacted element is the function powerpressplayer_build_html5video of the component HTML5 Video Builder. Performing a manipulation of the argument width results in HTML injection. This vulnerability is reported as CVE-2026-118587. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability classified as problematic has been found in Blubrry PowerPress Podcasting Plugin up to 11.18.0. This affects the function powerpressplayer_build_html5video of the component HTML5 Video Builder. The manipulation of the argument width with an unknown input leads to a html injection vulnerability. CWE is classifying the issue as CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. This is going to have an impact on integrity. The summary by CVE is:

The PowerPress Podcasting plugin by Blubrry plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'width' parameter in all versions up to, and including, 11.18.0 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with contributor-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. This vulnerability is only exploitable when the site's configured video player is set to html5video, or when the media URL uses a .webm or .ogv extension, as these conditions are required to route the shortcode attributes through the vulnerable powerpressplayer_build_html5video() builder. Successful exploitation additionally requires an action by an editor — the attacker cannot trigger the vulnerability on their own.

It is possible to read the advisory at wordfence.com. This vulnerability is uniquely identified as CVE-2026-118587 since 10/28/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.4
VulDB Meta Temp Score: 4.4

VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 5.4
CNA Vector (Wordfence): 🔒

CVSSv2info

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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: HTML injection
CWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

10/28/2026 CVE reserved
11/13/2026 +16 days Advisory disclosed
11/13/2026 +0 days VulDB entry created
11/13/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: wordfence.com
Status: Not defined

CNA: Wordfence
CVE: CVE-2026-118587 (🔒)

GCVE (CVE): GCVE-0-2026-118587
GCVE (VulDB): GCVE-100-436707

Entryinfo

Created: 11/13/2026 11:03
Changes: 11/13/2026 11:03 (65)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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