PYSEC-2026-83
Vulnerability from pysec - Published: 2026-03-05 20:16 - Updated: 2026-05-20 09:19
VLAI
Details
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.
Severity
7.2 (High)
Impacted products
| Name | purl | langgraph | pkg:pypi/langgraph |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "langgraph",
"purl": "pkg:pypi/langgraph"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.0.10rc1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.0.10",
"0.0.11",
"0.0.12",
"0.0.13",
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"0.4.1",
"0.4.10",
"0.4.2",
"0.4.3",
"0.4.4",
"0.4.5",
"0.4.6",
"0.4.7",
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"0.5.0",
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"0.5.0rc1",
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"0.5.4",
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"1.0.4",
"1.0.5",
"1.0.6",
"1.0.7",
"1.0.8",
"1.0.9"
]
}
],
"aliases": [
"CVE-2026-28277",
"GHSA-g48c-2wqr-h844"
],
"details": "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.",
"id": "PYSEC-2026-83",
"modified": "2026-05-20T09:19:04.761672Z",
"published": "2026-03-05T20:16:15.677Z",
"references": [
{
"type": "ADVISORY",
"url": "https://github.com/langchain-ai/langgraph/security/advisories/GHSA-g48c-2wqr-h844"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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