Vulnerability-Lookup

CVE-2026-39349 (GCVE-0-2026-39349)

Vulnerability from cvelistv5 – Published: 2026-04-07 18:22 – Updated: 2026-04-07 19:27

Title

OrangeHRM Uses AES-ECB for Sensitive Data Encryption Enables Pattern Disclosure

Summary

OrangeHRM is a comprehensive human resource management (HRM) system. From 5.0 to 5.8, OrangeHRM Open Source encrypts certain sensitive fields with AES in ECB mode, which preserves block-aligned plaintext patterns in ciphertext and enables pattern disclosure against stored data. This vulnerability is fixed in 5.8.1.

Severity

2.1 (Low)


                        
                          CVSS:4.0/AV:N/AC:H/AT:P/PR:H/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-04-07 19:27 UTC

CWE

CWE-326 - Inadequate Encryption Strength

Assigner

GitHub_M mitre root

References

1 reference

URL	Tags
https://github.com/orangehrm/orangehrm/security/a…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version	CPE status
orangehrm	orangehrm	Affected: >= 5.0, < 5.8.1	guessed

Show details on NVD website

JSON

To clipboard

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      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
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      "title": "OrangeHRM Uses AES-ECB for Sensitive Data Encryption Enables Pattern Disclosure",
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FKIE_CVE-2026-39349

Vulnerability from fkie_nvd - Published: 2026-04-07 19:16 - Updated: 2026-07-24 21:10

Severity

2.7 (Low) - CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N

Summary

References

	URL	Tags
	security-advisories@github.com	https://github.com/orangehrm/orangehrm/security/advisories/GHSA-g29m-3jgj-gprg	Vendor Advisory

Impacted products

	Vendor	Product	Version
	orangehrm	orangehrm	*

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "orangehrm",
          "vendor": "orangehrm",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 5.0, \u003c 5.8.1"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:orangehrm:orangehrm:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "804C1EE9-4D17-4056-B3D6-1BDB9F0BB026",
              "versionEndExcluding": "5.8.1",
              "versionStartIncluding": "5.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "OrangeHRM is a comprehensive human resource management (HRM) system. From 5.0 to 5.8, OrangeHRM Open Source encrypts certain sensitive fields with AES in ECB mode, which preserves block-aligned plaintext patterns in ciphertext and enables pattern disclosure against stored data. This vulnerability is fixed in 5.8.1."
    },
    {
      "lang": "es",
      "value": "OrangeHRM es un sistema integral de gesti\u00f3n de recursos humanos (HRM). De 5.0 a 5.8, OrangeHRM Open Source cifra ciertos campos sensibles con AES en modo ECB, lo que preserva patrones de texto plano alineados por bloques en el texto cifrado y permite la divulgaci\u00f3n de patrones contra los datos almacenados. Esta vulnerabilidad se corrige en la versi\u00f3n 5.8.1."
    }
  ],
  "id": "CVE-2026-39349",
  "lastModified": "2026-07-24T21:10:00.143",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 2.7,
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          "confidentialityImpact": "LOW",
          "integrityImpact": "NONE",
          "privilegesRequired": "HIGH",
          "scope": "UNCHANGED",
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        "impactScore": 1.4,
        "source": "nvd@nist.gov",
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          "confidentialityRequirement": "NOT_DEFINED",
          "exploitMaturity": "NOT_DEFINED",
          "integrityRequirement": "NOT_DEFINED",
          "modifiedAttackComplexity": "NOT_DEFINED",
          "modifiedAttackRequirements": "NOT_DEFINED",
          "modifiedAttackVector": "NOT_DEFINED",
          "modifiedPrivilegesRequired": "NOT_DEFINED",
          "modifiedSubAvailabilityImpact": "NOT_DEFINED",
          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
          "modifiedSubIntegrityImpact": "NOT_DEFINED",
          "modifiedUserInteraction": "NOT_DEFINED",
          "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
          "modifiedVulnConfidentialityImpact": "NOT_DEFINED",
          "modifiedVulnIntegrityImpact": "NOT_DEFINED",
          "privilegesRequired": "HIGH",
          "providerUrgency": "NOT_DEFINED",
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}

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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.