PYSEC-2026-2636

Vulnerability from pysec - Published: 2026-07-13 15:02 - Updated: 2026-07-13 16:04
VLAI
Details

A vulnerability was found in mem0ai mem0 up to 1.0.11. This affects the function pickle.load/pickle.dump of the file mem0/vector_stores/faiss.py. Performing a manipulation results in deserialization. It is possible to initiate the attack remotely. The exploit has been made public and could be used. The patch is named 62dca096f9236010ca15fea9ba369ba740b86b7a. Applying a patch is the recommended action to fix this issue.

Severity
6.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
2.1 (Low)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P
Impacted products
Name purl
mem0ai pkg:pypi/mem0ai
Aliases
To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "mem0ai",
        "purl": "pkg:pypi/mem0ai"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.0.0b2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.0.1",
        "0.0.10",
        "0.0.11",
        "0.0.12",
        "0.0.13",
        "0.0.14",
        "0.0.15",
        "0.0.16",
        "0.0.17",
        "0.0.18",
        "0.0.19",
        "0.0.2",
        "0.0.20",
        "0.0.20rc1",
        "0.0.21",
        "0.0.3",
        "0.0.4",
        "0.0.5",
        "0.0.6",
        "0.0.7",
        "0.0.8",
        "0.0.9",
        "0.1.0",
        "0.1.1",
        "0.1.10",
        "0.1.100",
        "0.1.101",
        "0.1.102",
        "0.1.103",
        "0.1.104",
        "0.1.106",
        "0.1.107",
        "0.1.107rc1",
        "0.1.107rc2",
        "0.1.108",
        "0.1.109",
        "0.1.11",
        "0.1.110",
        "0.1.111",
        "0.1.112",
        "0.1.113",
        "0.1.114",
        "0.1.115",
        "0.1.116",
        "0.1.117",
        "0.1.118",
        "0.1.12",
        "0.1.13",
        "0.1.14",
        "0.1.15",
        "0.1.16",
        "0.1.17",
        "0.1.18",
        "0.1.19",
        "0.1.2",
        "0.1.20",
        "0.1.20a0",
        "0.1.21",
        "0.1.22",
        "0.1.23",
        "0.1.24",
        "0.1.25",
        "0.1.26",
        "0.1.27",
        "0.1.28",
        "0.1.29",
        "0.1.3",
        "0.1.30",
        "0.1.31",
        "0.1.32",
        "0.1.33",
        "0.1.34",
        "0.1.35",
        "0.1.36",
        "0.1.37",
        "0.1.38",
        "0.1.39",
        "0.1.4",
        "0.1.40",
        "0.1.41",
        "0.1.42",
        "0.1.43",
        "0.1.44",
        "0.1.45",
        "0.1.45rc1",
        "0.1.46",
        "0.1.47",
        "0.1.48",
        "0.1.49",
        "0.1.5",
        "0.1.50",
        "0.1.52",
        "0.1.53",
        "0.1.54",
        "0.1.55",
        "0.1.56",
        "0.1.57",
        "0.1.58",
        "0.1.59",
        "0.1.6",
        "0.1.60",
        "0.1.61",
        "0.1.62",
        "0.1.63",
        "0.1.65",
        "0.1.66",
        "0.1.67",
        "0.1.69",
        "0.1.7",
        "0.1.70",
        "0.1.71",
        "0.1.72",
        "0.1.73",
        "0.1.74",
        "0.1.75",
        "0.1.76",
        "0.1.77",
        "0.1.78",
        "0.1.78a0",
        "0.1.78a1",
        "0.1.78a2",
        "0.1.79",
        "0.1.8",
        "0.1.80",
        "0.1.81",
        "0.1.81a0",
        "0.1.81a1",
        "0.1.81a2",
        "0.1.82",
        "0.1.83",
        "0.1.84",
        "0.1.84a1",
        "0.1.85",
        "0.1.86",
        "0.1.87",
        "0.1.88",
        "0.1.89",
        "0.1.9",
        "0.1.90",
        "0.1.91",
        "0.1.92",
        "0.1.93",
        "0.1.94",
        "0.1.95",
        "0.1.96",
        "0.1.96rc1",
        "0.1.97",
        "0.1.98",
        "0.1.99",
        "0.1.99a0",
        "0.1.99a1",
        "0.1.99a2",
        "0.1.99a3",
        "1.0.0",
        "1.0.0b0",
        "1.0.1",
        "1.0.10",
        "1.0.11",
        "1.0.2",
        "1.0.3",
        "1.0.4",
        "1.0.5",
        "1.0.6",
        "1.0.7",
        "1.0.8",
        "1.0.9",
        "2.0.0b0",
        "2.0.0b1"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-7597",
    "GHSA-xqxw-r767-67m7"
  ],
  "details": "A vulnerability was found in mem0ai mem0 up to 1.0.11. This affects the function pickle.load/pickle.dump of the file mem0/vector_stores/faiss.py. Performing a manipulation results in deserialization. It is possible to initiate the attack remotely. The exploit has been made public and could be used. The patch is named 62dca096f9236010ca15fea9ba369ba740b86b7a. Applying a patch is the recommended action to fix this issue.",
  "id": "PYSEC-2026-2636",
  "modified": "2026-07-13T16:04:50.252912Z",
  "published": "2026-07-13T15:02:56.014161Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-7597"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mem0ai/mem0/issues/3778"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mem0ai/mem0/pull/4833"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mem0ai/mem0/commit/62dca096f9236010ca15fea9ba369ba740b86b7a"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mem0ai/mem0"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/submit/805562"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/vuln/360550"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/vuln/360550/cti"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/mem0ai"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-xqxw-r767-67m7"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P",
      "type": "CVSS_V4"
    }
  ],
  "summary": "mem0ai mem0 has an Improper Input Validation Issue"
}



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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.


Detection rules are retrieved from Rulezet.