pipeboard-co meta-ads-mcp up to 1.0.114 Image Download utils.py try_multiple_download_methods image_url server-side request forgery

CVSS Meta Temp Score
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CTI Interest Score
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7.6$0-$5k0.83+

Summaryinfo

A vulnerability classified as critical has been found in pipeboard-co meta-ads-mcp up to 1.0.114. Affected is the function try_multiple_download_methods of the file meta_ads_mcp/core/utils.py of the component Image Download. Performing a manipulation of the argument image_url results in server-side request forgery. This vulnerability was named CVE-2026-54549. The attack may be initiated remotely. There is no available exploit. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability was found in pipeboard-co meta-ads-mcp up to 1.0.114. It has been classified as critical. This affects the function try_multiple_download_methods of the file meta_ads_mcp/core/utils.py of the component Image Download. The manipulation of the argument image_url with an unknown input leads to a server-side request forgery vulnerability. CWE is classifying the issue as CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Meta Ads MCP is a Model Context Protocol (MCP) server that lets AI assistants run Meta Ads. Prior to version 1.0.115, the upload_ad_image tool in meta_ads_mcp/core/ads.py passes an attacker-controlled image_url to try_multiple_download_methods() in meta_ads_mcp/core/utils.py, where httpx.AsyncClient uses follow_redirects=True and performs HTTP requests without validating the scheme, host, or resolved IP address. In a streamable-http deployment, a network caller can use any non-empty authorization value because Meta credential validation occurs after the image download, then direct the server to loopback services, private-network addresses, cloud metadata endpoints, or redirect-chained internal targets. The resulting server-side request forgery can expose internal data, invoke state-changing internal services, or disrupt reachable services. This issue is fixed in version 1.0.115.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-54549 since 06/15/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit.

Upgrading to version 1.0.115 eliminates this vulnerability.

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

Productinfo

Type

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.8
VulDB Meta Temp Score: 7.6

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 8.3
CNA Vector (GitHub_M): 🔒

CVSSv2info

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

Exploitinginfo

Class: Server-side request forgery
CWE: CWE-918
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: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: meta-ads-mcp 1.0.115

Timelineinfo

06/15/2026 CVE reserved
09/15/2026 +92 days Advisory disclosed
09/15/2026 +0 days VulDB entry created
09/15/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-54549 (🔒)
GCVE (CVE): GCVE-0-2026-54549
GCVE (VulDB): GCVE-100-404403

Entryinfo

Created: 09/15/2026 19:44
Changes: 09/15/2026 19:44 (68)
Complete: 🔍
Cache ID: 216::103

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

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