CVE-2026-108958

Status: DeferredLow (2.1)—
Severity2.1Low · CVSS 4.0
Exploitation probability0.26 %higher than 16% of CVEs
Active exploitationNonot in the CISA catalog
Public exploitNot knownno public code found

A weakness has been identified in TensorLayer up to 2.2.4. This affects the function load_hdf5_graph of the file tensorlayer/files/utils.py of the component HDF5 Loading. Executing a manipulation of the argument model_config can lead to deserialization. The attack can be executed remotely. The exploit has been made available to the public and could be used for attacks. The project was informed of the problem early through an issue report but has not responded yet.

CVSS

Base score
2.1
Version
4.0
Vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Exploitation probability (EPSS)

Probability of exploitation in the next 30 days
0.26 %
Percentile among all scored CVEs
16
Score date
10/20/2026

EPSS (Exploit Prediction Scoring System, FIRST) estimates how likely a vulnerability is to be exploited in the wild within 30 days. It complements CVSS (impact) and CISA KEV (confirmed exploitation).

ATT&CK techniques

How this vulnerability is exploited and what the attacker gains, in MITRE ATT&CK terms.

UI:R (interacción del usuario requerida) + deserialization en archivo HDF5 cargado manualmente → ejecución de código en cliente (T1203). CWE-502 confirma deserialización insegura como vector de RCE.

Inferred by our analysis agent from the official description, CVSS vector and CWE, and checked by a supervisor. May contain errors.

ATT&CK mitigations that cover these techniques

Affected technologies (1)

⚠ AI-inferred from the description — NVD hasn't analyzed this CVE yet, these aren't verified CPEs.

CWEs

References

Show 6 references

Raw JSON (NVD)

Show
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      "affectedData": [
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          "vendor": "n/a",
          "modules": [
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  "published": "2026-10-13T03:16:40.390",
  "references": [
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      "url": "https://github.com/tensorlayer/TensorLayer/",
      "source": "cna@vuldb.com"
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      "url": "https://github.com/tensorlayer/TensorLayer/issues/1169",
      "source": "cna@vuldb.com"
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      "url": "https://vuldb.com/cve/CVE-2026-108958",
      "source": "cna@vuldb.com"
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    {
      "url": "https://vuldb.com/submit/997885",
      "source": "cna@vuldb.com"
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      "url": "https://vuldb.com/vuln/416777",
      "source": "cna@vuldb.com"
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      "url": "https://vuldb.com/vuln/416777/cti",
      "source": "cna@vuldb.com"
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      "source": "cna@vuldb.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-20"
        },
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "A weakness has been identified in TensorLayer up to 2.2.4. This affects the function load_hdf5_graph of the file tensorlayer/files/utils.py of the component HDF5 Loading. Executing a manipulation of the argument model_config can lead to deserialization. The attack can be executed remotely. The exploit has been made available to the public and could be used for attacks. The project was informed of the problem early through an issue report but has not responded yet."
    }
  ],
  "lastModified": "2026-10-14T14:17:35.940",
  "sourceIdentifier": "cna@vuldb.com"
}