CVEs.

Vulnerabilities published in the last two years in software made by the companies on the wall: clients, SDKs, agents and self-hosted editions. A CVE here does not mean the hosted service was affected or breached.

NVD data refreshed 30 min ago

Severity of matching CVEs

CVSS base severity, as scored in NVD

Critical
00%
High
8100%
Medium
00%
Low or not scored
00%
Matching CVEs
8
Last two years
Critical
0
CVSS 9.0 and above
High
8
CVSS 7.0 to 8.9
Known exploited
0
On CISA's KEV list

Matching CVEs published

By month, last two years

Peak 3 · March 2026

  • Total: 8
  • December 2024: 0
  • January 2025: 0
  • February 2025: 0
  • March 2025: 0
  • April 2025: 0
  • May 2025: 0
  • June 2025: 0
  • July 2025: 0
  • August 2025: 0
  • September 2025: 0
  • October 2025: 0
  • November 2025: 0
  • December 2025: 2
  • January 2026: 1
  • February 2026: 1
  • March 2026: 3
  • April 2026: 0
  • May 2026: 1
  • June 2026: 0
  • July 2026: 0
  • August 2026: 0
  • September 2026: 0
  • October 2026: 0
  • November 2026: 0

Most CVEs

In each company's software, last two years

  1. Microsoft 365990
  2. NVIDIA590
  3. GitLab436
  4. Apple (iCloud, App Store and services)348
  5. MongoDB Atlas320
  6. Mattermost Cloud310

Matching CVEs

  1. 8.2High

    CVE-2026-44843 (opens in a new tab)

    LangChain is a framework for building agents and LLM-powered applications. Prior to 0.3.85 and 1.3.3, LangChain contains older runtime code paths that deserialize run inputs, run outputs, or other application-controlled payloads using overly broad object allowlists. These paths may call load() with allowed_objects="all". This does not enable arbitrary Python object deserialization, but it does allow any trusted LangChain-serializable object to be revived, which is broader than these runtime paths require. As a result, attacker-supplied LangChain serialized constructor dictionaries may cause tr

    LangChain / LangSmith· May 26, 2026

  2. 7.5High

    CVE-2026-34070 (opens in a new tab)

    LangChain is a framework for building agents and LLM-powered applications. Prior to version 1.2.22, multiple functions in langchain_core.prompts.loading read files from paths embedded in deserialized config dicts without validating against directory traversal or absolute path injection. When an application passes user-influenced prompt configurations to load_prompt() or load_prompt_from_config(), an attacker can read arbitrary files on the host filesystem, constrained only by file-extension checks (.txt for templates, .json/.yaml for examples). This issue has been patched in version 1.2.22.

    LangChain / LangSmith· Mar 31, 2026

  3. 7.2High

    CVE-2026-28277 (opens in a new tab)

    LangGraph SQLite Checkpoint is an implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via aiosqlite). In version 1.0.9 and prior, LangGraph checkpointers can load msgpack-encoded checkpoints that reconstruct Python objects during deserialization. If an attacker can modify checkpoint data in the backing store (for example, after a database compromise or other privileged write access to the persistence layer), they can potentially supply a crafted payload that triggers unsafe object reconstruction when the checkpoint is loaded. No known patch is public.

    LangChain / LangSmith· Mar 5, 2026

  4. 8.5High

    CVE-2026-25750 (opens in a new tab)

    Langchain Helm Charts are Helm charts for deploying Langchain applications on Kubernetes. Prior to langchain-ai/helm version 0.12.71, a URL parameter injection vulnerability existed in LangSmith Studio that could allow unauthorized access to user accounts through stolen authentication tokens. The vulnerability affected both LangSmith Cloud and self-hosted deployments. Authenticated LangSmith users who clicked on a specially crafted malicious link would have their bearer token, user ID, and workspace ID transmitted to an attacker-controlled server. With this stolen token, an attacker could impe

    LangChain / LangSmith· Mar 4, 2026

  5. 7.4High

    CVE-2026-27795 (opens in a new tab)

    LangChain is a framework for building LLM-powered applications. Prior to version 1.1.8, a redirect-based Server-Side Request Forgery (SSRF) bypass exists in `RecursiveUrlLoader` in `@langchain/community`. The loader validates the initial URL but allows the underlying fetch to follow redirects automatically, which permits a transition from a safe public URL to an internal or metadata endpoint without revalidation. This is a bypass of the SSRF protections introduced in 1.1.14 (CVE-2026-26019). Users should upgrade to `@langchain/community` 1.1.18, which validates every redirect hop by disabling

    LangChain / LangSmith· Feb 25, 2026

  6. 8.7High

    CVE-2024-58340 (opens in a new tab)

    LangChain versions up to and including 0.3.1 contain a regular expression denial-of-service (ReDoS) vulnerability in the MRKLOutputParser.parse() method (libs/langchain/langchain/agents/mrkl/output_parser.py). The parser applies a backtracking-prone regular expression when extracting tool actions from model output. An attacker who can supply or influence the parsed text (for example via prompt injection in downstream applications that pass LLM output directly into MRKLOutputParser.parse()) can trigger excessive CPU consumption by providing a crafted payload, causing significant parsing delays

    LangChain / LangSmith· Jan 12, 2026

  7. 8.2High

    CVE-2025-68664 (opens in a new tab)

    LangChain is a framework for building agents and LLM-powered applications. Prior to versions 0.3.81 and 1.2.5, a serialization injection vulnerability exists in LangChain's dumps() and dumpd() functions. The functions do not escape dictionaries with 'lc' keys when serializing free-form dictionaries. The 'lc' key is used internally by LangChain to mark serialized objects. When user-controlled data contains this key structure, it is treated as a legitimate LangChain object during deserialization rather than plain user data. This issue has been patched in versions 0.3.81 and 1.2.5.

    LangChain / LangSmith· Dec 23, 2025

  8. 7.8High

    CVE-2025-67644 (opens in a new tab)

    LangGraph SQLite Checkpoint is an implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via aiosqlite). Versions 3.0.0 and below are vulnerable to SQL injection through the checkpoint implementation. Checkpoint allows attackers to manipulate SQL queries through metadata filter keys, affecting applications that accept untrusted metadata filter keys (not just filter values) in checkpoint search operations. The _metadata_predicate() function constructs SQL queries by interpolating filter keys directly into f-strings without validation. This issue is fixed in versio

    LangChain / LangSmith· Dec 11, 2025

Public information only

Everything on this page was already published by the companies themselves or by public bodies. statuswall gathers it in one place, links every item to its original, and adds nothing from private or leaked sources.

Sources

How fresh it is

  • New and changed CVEs: pulled from NVD every two hours; last run 30 min ago
  • Known-exploited flags: updated from CISA in the same run
  • Window: the last two years; older entries drop off automatically

Source: the U.S. National Vulnerability Database, refreshed daily, with the known-exploited flag from CISA's KEV catalog. Descriptions are NVD's. A CVE is listed under a company when NVD names that company's product as affected, or when the company's own CVE authority assigned it; companies whose names are common words are matched only by explicit rules, so some CVEs will be missing. This product uses NVD data but is not endorsed or certified by the NVD. CVE is a registered trademark of The MITRE Corporation.

statuswall is independent and is not affiliated with, sponsored by or endorsed by any company named here. Company and product names are used only to identify whose public information is being referred to. The information is provided as is, for general reference, with no guarantee that it is complete, current or free of error; it is not security, legal or purchasing advice. Where this page and an official source differ, the official source is right.