PYSEC-2024-323
Vulnerability from pysec - Published: 2024-09-17 12:15 - Updated: 2026-07-13 05:49
VLAI
Details
A vulnerability in the FAISS.deserialize_from_bytes function of langchain-ai/langchain allows for pickle deserialization of untrusted data. This can lead to the execution of arbitrary commands via the os.system function. The issue affects the latest version of the product.
Severity
7.8 (High)
Impacted products
| Name | purl | langchain | pkg:pypi/langchain |
|---|
Aliases
{
"affected": [
{
"ecosystem_specific": {},
"package": {
"ecosystem": "PyPI",
"name": "langchain",
"purl": "pkg:pypi/langchain"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.2.9"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.0.1",
"0.0.10",
"0.0.100",
"0.0.101",
"0.0.101rc0",
"0.0.102",
"0.0.102rc0",
"0.0.103",
"0.0.104",
"0.0.105",
"0.0.106",
"0.0.107",
"0.0.108",
"0.0.109",
"0.0.11",
"0.0.110",
"0.0.111",
"0.0.112",
"0.0.113",
"0.0.114",
"0.0.115",
"0.0.116",
"0.0.117",
"0.0.118",
"0.0.119",
"0.0.12",
"0.0.120",
"0.0.121",
"0.0.122",
"0.0.123",
"0.0.124",
"0.0.125",
"0.0.126",
"0.0.127",
"0.0.128",
"0.0.129",
"0.0.13",
"0.0.130",
"0.0.131",
"0.0.132",
"0.0.133",
"0.0.134",
"0.0.135",
"0.0.136",
"0.0.137",
"0.0.138",
"0.0.139",
"0.0.14",
"0.0.140",
"0.0.141",
"0.0.142",
"0.0.143",
"0.0.144",
"0.0.145",
"0.0.146",
"0.0.147",
"0.0.148",
"0.0.149",
"0.0.15",
"0.0.150",
"0.0.151",
"0.0.152",
"0.0.153",
"0.0.154",
"0.0.155",
"0.0.156",
"0.0.157",
"0.0.158",
"0.0.159",
"0.0.16",
"0.0.160",
"0.0.161",
"0.0.162",
"0.0.163",
"0.0.164",
"0.0.165",
"0.0.166",
"0.0.167",
"0.0.168",
"0.0.169",
"0.0.17",
"0.0.170",
"0.0.171",
"0.0.172",
"0.0.173",
"0.0.174",
"0.0.175",
"0.0.176",
"0.0.177",
"0.0.178",
"0.0.179",
"0.0.18",
"0.0.180",
"0.0.181",
"0.0.182",
"0.0.183",
"0.0.184",
"0.0.185",
"0.0.186",
"0.0.187",
"0.0.188",
"0.0.189",
"0.0.19",
"0.0.190",
"0.0.191",
"0.0.192",
"0.0.193",
"0.0.194",
"0.0.195",
"0.0.196",
"0.0.197",
"0.0.198",
"0.0.199",
"0.0.2",
"0.0.20",
"0.0.200",
"0.0.201",
"0.0.202",
"0.0.203",
"0.0.204",
"0.0.205",
"0.0.206",
"0.0.207",
"0.0.208",
"0.0.209",
"0.0.21",
"0.0.210",
"0.0.211",
"0.0.212",
"0.0.213",
"0.0.214",
"0.0.215",
"0.0.216",
"0.0.217",
"0.0.218",
"0.0.219",
"0.0.22",
"0.0.220",
"0.0.221",
"0.0.222",
"0.0.223",
"0.0.224",
"0.0.225",
"0.0.226",
"0.0.227",
"0.0.228",
"0.0.229",
"0.0.23",
"0.0.230",
"0.0.231",
"0.0.232",
"0.0.233",
"0.0.234",
"0.0.235",
"0.0.236",
"0.0.237",
"0.0.238",
"0.0.239",
"0.0.24",
"0.0.240",
"0.0.240rc0",
"0.0.240rc1",
"0.0.240rc4",
"0.0.242",
"0.0.243",
"0.0.244",
"0.0.245",
"0.0.246",
"0.0.247",
"0.0.248",
"0.0.249",
"0.0.25",
"0.0.250",
"0.0.251",
"0.0.252",
"0.0.253",
"0.0.254",
"0.0.255",
"0.0.256",
"0.0.257",
"0.0.258",
"0.0.259",
"0.0.26",
"0.0.260",
"0.0.261",
"0.0.262",
"0.0.263",
"0.0.264",
"0.0.265",
"0.0.266",
"0.0.267",
"0.0.268",
"0.0.269",
"0.0.27",
"0.0.270",
"0.0.271",
"0.0.272",
"0.0.273",
"0.0.274",
"0.0.275",
"0.0.276",
"0.0.277",
"0.0.278",
"0.0.279",
"0.0.28",
"0.0.281",
"0.0.283",
"0.0.284",
"0.0.285",
"0.0.286",
"0.0.287",
"0.0.288",
"0.0.289",
"0.0.29",
"0.0.290",
"0.0.291",
"0.0.292",
"0.0.293",
"0.0.294",
"0.0.295",
"0.0.296",
"0.0.297",
"0.0.298",
"0.0.299",
"0.0.3",
"0.0.30",
"0.0.300",
"0.0.301",
"0.0.302",
"0.0.303",
"0.0.304",
"0.0.305",
"0.0.306",
"0.0.307",
"0.0.308",
"0.0.309",
"0.0.31",
"0.0.310",
"0.0.311",
"0.0.312",
"0.0.313",
"0.0.314",
"0.0.315",
"0.0.316",
"0.0.317",
"0.0.318",
"0.0.319",
"0.0.32",
"0.0.320",
"0.0.321",
"0.0.322",
"0.0.323",
"0.0.324",
"0.0.325",
"0.0.326",
"0.0.327",
"0.0.329",
"0.0.33",
"0.0.330",
"0.0.331",
"0.0.331rc0",
"0.0.331rc1",
"0.0.331rc2",
"0.0.331rc3",
"0.0.332",
"0.0.333",
"0.0.334",
"0.0.335",
"0.0.336",
"0.0.337",
"0.0.338",
"0.0.339",
"0.0.339rc0",
"0.0.339rc1",
"0.0.339rc2",
"0.0.339rc3",
"0.0.34",
"0.0.340",
"0.0.341",
"0.0.342",
"0.0.343",
"0.0.344",
"0.0.345",
"0.0.346",
"0.0.347",
"0.0.348",
"0.0.349",
"0.0.349rc1",
"0.0.349rc2",
"0.0.35",
"0.0.350",
"0.0.351",
"0.0.352",
"0.0.353",
"0.0.354",
"0.0.36",
"0.0.37",
"0.0.38",
"0.0.39",
"0.0.4",
"0.0.40",
"0.0.41",
"0.0.42",
"0.0.43",
"0.0.44",
"0.0.45",
"0.0.46",
"0.0.47",
"0.0.48",
"0.0.49",
"0.0.5",
"0.0.50",
"0.0.51",
"0.0.52",
"0.0.53",
"0.0.54",
"0.0.55",
"0.0.56",
"0.0.57",
"0.0.58",
"0.0.59",
"0.0.6",
"0.0.60",
"0.0.61",
"0.0.63",
"0.0.64",
"0.0.65",
"0.0.66",
"0.0.67",
"0.0.68",
"0.0.69",
"0.0.7",
"0.0.70",
"0.0.71",
"0.0.72",
"0.0.73",
"0.0.74",
"0.0.75",
"0.0.76",
"0.0.77",
"0.0.78",
"0.0.79",
"0.0.8",
"0.0.80",
"0.0.81",
"0.0.82",
"0.0.83",
"0.0.84",
"0.0.85",
"0.0.86",
"0.0.87",
"0.0.88",
"0.0.89",
"0.0.9",
"0.0.90",
"0.0.91",
"0.0.92",
"0.0.93",
"0.0.94",
"0.0.95",
"0.0.96",
"0.0.97",
"0.0.98",
"0.0.99",
"0.0.99rc0",
"0.1.0",
"0.1.1",
"0.1.10",
"0.1.11",
"0.1.12",
"0.1.13",
"0.1.14",
"0.1.15",
"0.1.16",
"0.1.17",
"0.1.17rc1",
"0.1.19",
"0.1.2",
"0.1.20",
"0.1.3",
"0.1.4",
"0.1.5",
"0.1.6",
"0.1.7",
"0.1.8",
"0.1.9",
"0.2.0",
"0.2.0rc1",
"0.2.0rc2",
"0.2.1",
"0.2.2",
"0.2.3",
"0.2.4",
"0.2.5",
"0.2.6",
"0.2.7",
"0.2.8"
]
}
],
"aliases": [
"CVE-2024-5998"
],
"details": "A vulnerability in the FAISS.deserialize_from_bytes function of langchain-ai/langchain allows for pickle deserialization of untrusted data. This can lead to the execution of arbitrary commands via the os.system function. The issue affects the latest version of the product.",
"id": "PYSEC-2024-323",
"modified": "2026-07-13T05:49:28.193326Z",
"published": "2024-09-17T12:15:02.977Z",
"references": [
{
"type": "FIX",
"url": "https://github.com/langchain-ai/langchain/commit/604dfe2d99246b0c09f047c604f0c63eafba31e7"
},
{
"type": "EVIDENCE",
"url": "https://huntr.com/bounties/fa3a2753-57c3-4e08-a176-d7a3ffda28fe"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
Loading…
Loading…
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.
Loading…
Loading…