GHSA-WRRR-8JCV-WJF5

Vulnerability from github – Published: 2026-02-01 17:39 – Updated: 2026-02-01 17:39
VLAI
Summary
LobeHub Vulnerable to Improper Authorization in Presigned Upload
Details

Summary

The file upload feature in Knowledge Base > File Upload does not validate the integrity of the upload request, allowing users to intercept and modify the request parameters. As a result, it is possible to create arbitrary files in abnormal or unintended paths. In addition, since lobechat.com relies on the size parameter from the request to calculate file usage, an attacker can manipulate this value to misrepresent the actual file size, such as uploading a 1 GB file while reporting it as 10 MB, or falsely declaring a 10 MB file as a 1 GB file.

Details

After entering the Knowledge Base, click the file upload option and upload any file. At this point, use a tool such as Burp Suite to intercept and inspect the request sent to POST /trpc/lambda/file.createFile?batch=1 (the request packet is shown in the image below). By modifying the name and size fields in this request, it is possible to bypass the maximum upload size enforced by LobeChat’s monthly subscription plan and upload files beyond the intended service storage limits. image

Impacts

By manipulating the size value provided in the client upload request, it is possible to bypass the monthly upload quota enforced by the server and continuously upload files beyond the intended storage and traffic limits. This abuse can result in a discrepancy between actual resource consumption and billing calculations, causing direct financial impact to the service operator. Additionally, exhaustion of storage or related resources may lead to degraded service availability, including failed uploads, delayed content delivery, or temporary suspension of upload functionality for legitimate users. A single malicious user can also negatively affect other users or projects sharing the same subscription plan, effectively causing an indirect denial of service (DoS). Furthermore, excessive and unaccounted-for uploads can distort monitoring metrics and overload downstream systems such as backup processes, malware scanning, and media processing pipelines, ultimately undermining overall operational stability and service reliability

PoC

image image image

image image image

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "@lobehub/chat"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.143.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-23835"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-73"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-02-01T17:39:40Z",
    "nvd_published_at": "2026-01-30T20:16:41Z",
    "severity": "MODERATE"
  },
  "details": "### Summary\nThe file upload feature in `Knowledge Base \u003e File Upload` does not validate the integrity of the upload request, allowing users to intercept and modify the request parameters. As a result, it is possible to create arbitrary files in abnormal or unintended paths. In addition, since `lobechat.com` relies on the size parameter from the request to calculate file usage, an attacker can manipulate this value to misrepresent the actual file size, such as uploading a `1 GB` file while reporting it as `10 MB`, or falsely declaring a `10 MB` file as a `1 GB` file.\n\n### Details\nAfter entering the Knowledge Base, click the file upload option and upload any file. At this point, use a tool such as Burp Suite to intercept and inspect the request sent to `POST /trpc/lambda/file.createFile?batch=1` (the request packet is shown in the image below). By modifying the name and size fields in this request, it is possible to bypass the maximum upload size enforced by LobeChat\u2019s monthly subscription plan and upload files beyond the intended service storage limits.\n\u003cimg width=\"670\" height=\"413\" alt=\"image\" src=\"https://github.com/user-attachments/assets/c83cfb81-3bcc-4562-b052-5344ccf6356f\" /\u003e\n\n### Impacts\nBy manipulating the size value provided in the client upload request, it is possible to bypass the monthly upload quota enforced by the server and continuously upload files beyond the intended storage and traffic limits. This abuse can result in a discrepancy between actual resource consumption and billing calculations, causing direct financial impact to the service operator. Additionally, exhaustion of storage or related resources may lead to degraded service availability, including failed uploads, delayed content delivery, or temporary suspension of upload functionality for legitimate users. A single malicious user can also negatively affect other users or projects sharing the same subscription plan, effectively causing an indirect denial of service (DoS). Furthermore, excessive and unaccounted-for uploads can distort monitoring metrics and overload downstream systems such as backup processes, malware scanning, and media processing pipelines, ultimately undermining overall operational stability and service reliability\n\n### PoC\n\u003cimg width=\"572\" height=\"498\" alt=\"image\" src=\"https://github.com/user-attachments/assets/cb5d4a7d-513c-49bf-a75b-0e6abb7f144a\" /\u003e\n\u003cimg width=\"887\" height=\"305\" alt=\"image\" src=\"https://github.com/user-attachments/assets/31d80889-d169-45af-b052-f7f4b5f654da\" /\u003e\n\u003cimg width=\"286\" height=\"95\" alt=\"image\" src=\"https://github.com/user-attachments/assets/0a112966-cb3c-4045-af85-acad9f645056\" /\u003e\n\n\u003cimg width=\"568\" height=\"503\" alt=\"image\" src=\"https://github.com/user-attachments/assets/51cfa49e-ffef-4e04-be3e-77a67d41e1c0\" /\u003e\n\u003cimg width=\"602\" height=\"275\" alt=\"image\" src=\"https://github.com/user-attachments/assets/d0b5a85d-60bc-4ffe-9877-1dca989dfe92\" /\u003e\n\u003cimg width=\"281\" height=\"106\" alt=\"image\" src=\"https://github.com/user-attachments/assets/fc68eaeb-b320-4066-80f8-18aa6e42cdaf\" /\u003e",
  "id": "GHSA-wrrr-8jcv-wjf5",
  "modified": "2026-02-01T17:39:40Z",
  "published": "2026-02-01T17:39:40Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/lobehub/lobehub/security/advisories/GHSA-wrrr-8jcv-wjf5"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-23835"
    },
    {
      "type": "WEB",
      "url": "https://github.com/lobehub/lobehub/commit/2c1762b85acb84467ed5e799afe1499cd2f912e6"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/lobehub/lobehub"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:H/VA:H/SC:N/SI:N/SA:N/E:P",
      "type": "CVSS_V4"
    }
  ],
  "summary": "LobeHub Vulnerable to Improper Authorization in Presigned Upload"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Events included in the timeline

Loading timeline…


    Loading…

    Loading…

    Loading…

    Related by attack behaviour

    Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.