CVE-2026-49865
Kimai has Server-Side Request Forgery in Invoice PDF Rendering via Markdown Image URLs
Record summary
EIP currently links 1 repository PoC to CVE-2026-49865.
Description
### Summary Kimai 2.56.0 contains a server-side request forgery vulnerability in its invoice PDF preview and generation workflow. If an attacker can control Markdown content that is later rendered into an invoice PDF, such as `Customer.invoiceText`, the server-side PDF renderer will fetch remote image URLs embedded in Markdown image syntax. This allows the application server to issue outbound requests to attacker-controlled or internal targets during PDF rendering. The behavior can be used for internal network probing, server-side reachability checks, and potentially follow-on exploitation depending on deployment environment and accessible internal services. ### Details The vulnerable behavior occurs in the invoice rendering chain when user-controlled Markdown is transformed into HTML and then rendered by mPDF. - First, customer invoice text is copied into the invoice model. . Second, the default PDF invoice template renders that field through the Markdown-to-HTML filter. - Third, `md2html` enables full Markdown rendering. - Although safe mode is enabled, the tested Markdown image syntax still survives into the rendered HTML chain in a form that causes the PDF renderer to fetch the image resource. - Finally, the HTML is handed to mPDF. The live test confirms that mPDF attempts to retrieve the remote image URL from the server side during PDF preview. This means the issue is not a template-injection problem but an SSRF condition caused by the rendering pipeline: - attacker-controlled Markdown - Markdown converted to HTML - HTML rendered by mPDF - mPDF fetches remote image resources from the server side *A PoC was provided, but removed for security reasons.* ### Impact This vulnerability allows an attacker who can influence invoice-rendered Markdown fields to cause the Kimai server to make outbound requests to arbitrary destinations. In real deployments, this can be used to probe internal services, test access to internal administrative or metadata endpoints, and confirm server-side reachability to attacker-controlled infrastructure. Depending on the environment, SSRF can also become a stepping stone toward more serious outcomes, such as triggering side effects on internal HTTP services or extracting sensitive information from services reachable only by the server. Because invoice generation is commonly performed by administrative or finance-related users, the feature is realistically reachable in business workflows. # Solution - Kimai does not allow to use markdown images any longer and converts them to HTML links instead - Kimai uses a specialized HttpClient for mPDF (called `NoPrivateNetworkHttpClient`), which prevents access to a variety of URLs, the full list can be fetched [from the documentation](https://www.kimai.org/documentation/pdf-templates.html#embedding-images) - This change can be a BC break, if someone used - the Kimai domain for hosting invoice or export template images - an internal IP for hosting invoice or export template images See https://www.kimai.org/en/security/ghsa-pj8j-p4g4-4vw8
Exploitation context
Available material
- Repository PoCs
- 1
Affected products and versions
1| Product | Source | Version range | Status |
|---|---|---|---|
kimai/kimaiBrowse Packagist / kimai/kimai | GitHub Advisory | Before 2.58.0 · Fixed in 2.58.0 | affected |
Proofs of concept
1Repository PoCs
GitHubcyeezy08/Kimai-CVE-2026-49865-POCRepository PoCby cyeezy08Stars: 0Exploit10 files
Analysis
Technical assessment
The artifact is a complete exploit toolkit for CVE-2026-52824, a critical authentication bypass in Kimai. It includes a Python script (exploit.py) that forges a KIMAI_REMEMBER cookie using a hardcoded default APP_SECRET and an empty signature_properties hash, then uses the cookie to authenticate against a target instance and access protected pages.
Backdoor review
No backdoor observed in reviewed code
The reviewed text files (README.md, exploit.py, requirements.txt) describe and implement a proof-of-concept exploit for CVE-2026-52824, a known vulnerability in Kimai. The code forges a remember-me cookie using a hardcoded default secret and attempts to access protected pages. No concealed backdoor, credential exfiltration, persistence mechanism, or unrelated payload was observed. The behavior is consistent with the stated exploit purpose.
Classification basis and observed behavior
Classification basis
The primary artifact is classified as an exploit because the main Python script (exploit.py) contains code that forges a valid authentication cookie and uses it to gain unauthorized access to a target application, which is the definition of an exploit. The README explicitly describes it as a 'Proof-of-concept exploit toolkit' and details the attack chain from advisory to admin session.
README.md:5README.md:15exploit.py:223-365Requirements
- Target must be a Kimai instance ≤ 2.57.0 using the default APP_SECRET (change_this_to_something_unique) as shipped in Docker or .env.dist.
README.md:5exploit.py:8-11 - The attacker must know or guess a valid username (e.g., admin, super_admin) and the corresponding user ID is sequential (admin = id:1).
README.md:13README.md:42
Observed behavior
- The exploit script computes a constant FieldsHash (SHA256 of empty string) and uses the known default APP_SECRET to compute an HMAC-SHA256 signature, then assembles a forged KIMAI_REMEMBER cookie.
exploit.py:70-100exploit.py:103-130 - The script sets the forged cookie in an HTTP session and attempts to access protected paths (e.g., /en/dashboard, /en/admin/user/) to verify successful authentication bypass.
exploit.py:311-365 - The README describes the toolkit as containing a single-target exploit, a multi-threaded batch exploitation script, a scanner, version probes, and a Shodan discovery script.
README.md:56-65
Behaviors behind the backdoor verdict
Observables
- Exploit Behavior
- exploit.py forges a KIMAI_REMEMBER cookie using a hardcoded default APP_SECRET and attempts to access protected paths to verify account takeover.This is the normal, documented behavior of the PoC exploit.
exploit.py:103-130exploit.py:223-365 - Network Activity
- exploit.py makes HTTP requests to the user-supplied target URL to detect version and test cookie-based authentication.This is expected for a PoC that validates the vulnerability on a target instance.
exploit.py:137-190exploit.py:327-360 - File Write
- exploit.py can write the forged cookie value to a user-specified file when --output is used.This is a convenience feature for saving the cookie, not a persistence mechanism.
exploit.py:292-295
What the analysis did not establish
- Only 3 of 10 files in the repository are included as readable text; the other 7 files (including batch_pwn.py, quick_scan.py, deep_probe.py, probe_batch.py, shodan-scanner.py) are omitted, so the full toolkit behavior cannot be confirmed.
- The evidence packet reports complete_artifact_coverage as false, indicating that not all files were analyzed.
- The CVE records for CVE-2026-49865 and CVE-2026-52824 are absent from the acquired CVEList, so the official vulnerability description cannot be cross-referenced.
- 7 files (53,755 bytes) were omitted from the evidence packet and not reviewed. Their content is unknown.
- The analysis is limited to static review of the provided text; no dynamic execution was performed.
This review is limited to the supplied PoC code and context. It does not assert that the code works or is safe to execute.