Focus on linkedin vulnerabilities and metrics.
Last updated: 25 Nov 2025, 23:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with linkedin. We track both calendar-based metrics (using fixed periods) and rolling metrics (using gliding windows) to give you a comprehensive view of security trends and risk evolution. Use these insights to assess risk and plan your patching strategy.
For a broader perspective on cybersecurity threats, explore the comprehensive list of CVEs by vendor and product. Stay updated on critical vulnerabilities affecting major software and hardware providers.
Total linkedin CVEs: 4
Earliest CVE date: 24 Jul 2007, 18:30 UTC
Latest CVE date: 03 Sep 2025, 20:15 UTC
Latest CVE reference: CVE-2025-56139
30-day Count (Rolling): 0
365-day Count (Rolling): 1
Calendar-based Variation
Calendar-based Variation compares a fixed calendar period (e.g., this month versus the same month last year), while Rolling Growth Rate uses a continuous window (e.g., last 30 days versus the previous 30 days) to capture trends independent of calendar boundaries.
Month Variation (Calendar): 0%
Year Variation (Calendar): 0.0%
Month Growth Rate (30-day Rolling): 0.0%
Year Growth Rate (365-day Rolling): 0.0%
Average CVSS: 2.22
Max CVSS: 6.8
Critical CVEs (≥9): 0
| Range | Count |
|---|---|
| 0.0-3.9 | 3 |
| 4.0-6.9 | 2 |
| 7.0-8.9 | 0 |
| 9.0-10.0 | 0 |
These are the five CVEs with the highest CVSS scores for linkedin, sorted by severity first and recency.
LinkedIn Mobile Application for Android version 4.1.1087.2 fails to update link preview metadata (image, title, description) when a user replaces the original URL in a post or comment before publishing. As a result, the stale preview remains visible while the clickable link points to a different URL, which can be malicious. This UI misrepresentation enables attackers to deceive users by displaying trusted previews for harmful links, facilitating phishing attacks and user confusion.
greykite v1.0.0 was discovered to contain an arbitrary file upload vulnerability in the load_obj function at /templates/pickle_utils.py. This vulnerability allows attackers to execute arbitrary code via uploading a crafted file.
A vulnerability was found in LinkedIn dustjs up to 2.x and classified as problematic. Affected by this issue is some unknown functionality. The manipulation leads to improperly controlled modification of object prototype attributes ('prototype pollution'). The attack may be launched remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 3.0.0 is able to address this issue. The name of the patch is ddb6523832465d38c9d80189e9de60519ac307c3. It is recommended to upgrade the affected component. The identifier of this vulnerability is VDB-216464.
LinkedIn Oncall through 1.4.0 allows reflected XSS via /query because of mishandling of the "No results found for" message in the search bar.
Buffer overflow in the IEToolbar.IEContextMenu.1 ActiveX control in LinkedInIEToolbar.dll in the LinkedIn Toolbar 3.0.2.1098 allows remote attackers to execute arbitrary code via a long second argument (varBrowser argument) to the search method. NOTE: some of these details are obtained from third party information.