FKIE_CVE-2026-15025
Vulnerability from fkie_nvd - Published: 2026-07-28 12:16 - Updated: 2026-07-28 16:07
Severity
Summary
The Uncanny Automator – Easy Automation, Integration, Webhooks & Workflow Builder plugin for WordPress is vulnerable to Missing Authorization in versions up to, and including, 7.3.2 via the automator_google_contacts_fetch_labels, automator_mautic_segment_fetch, automator_mautic_tags_fetch, and automator_mautic_render_contact_fields AJAX actions due to a missing capability check and missing nonce verification in the corresponding handlers (ajax_fetch_labels, segments_fetch, tags_fetch, and render_contact_fields). This makes it possible for authenticated attackers, with Subscriber-level access and above, to enumerate sensitive Google Contacts groups/labels and Mautic segments, tags, and contact-field definitions retrieved via integration credentials configured by an administrator, and to consume third-party API quota.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Uncanny Automator \u2013 Easy Automation, Integration, Webhooks \u0026 Workflow Builder Plugin",
"vendor": "uncannyowl",
"versions": [
{
"lessThanOrEqual": "7.3.2",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Uncanny Automator \u2013 Easy Automation, Integration, Webhooks \u0026 Workflow Builder plugin for WordPress is vulnerable to Missing Authorization in versions up to, and including, 7.3.2 via the automator_google_contacts_fetch_labels, automator_mautic_segment_fetch, automator_mautic_tags_fetch, and automator_mautic_render_contact_fields AJAX actions due to a missing capability check and missing nonce verification in the corresponding handlers (ajax_fetch_labels, segments_fetch, tags_fetch, and render_contact_fields). This makes it possible for authenticated attackers, with Subscriber-level access and above, to enumerate sensitive Google Contacts groups/labels and Mautic segments, tags, and contact-field definitions retrieved via integration credentials configured by an administrator, and to consume third-party API quota."
}
],
"id": "CVE-2026-15025",
"lastModified": "2026-07-28T16:07:15.840",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "security@wordfence.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-15025",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-07-28T13:27:11.161338Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-07-28T12:16:35.490",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/uncanny-automator/tags/7.2.1/src/integrations/google-contacts/google-contacts-integration.php#L70"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/uncanny-automator/tags/7.2.1/src/integrations/google-contacts/helpers/google-contacts-helper.php#L113"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/uncanny-automator/tags/7.2.1/src/integrations/mautic/helpers/mautic-app-helpers.php#L199"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/uncanny-automator/tags/7.2.1/src/integrations/mautic/helpers/mautic-app-helpers.php#L250"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/uncanny-automator/tags/7.2.1/src/integrations/mautic/helpers/mautic-app-helpers.php#L302"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/uncanny-automator/tags/7.2.1/src/integrations/mautic/mautic-integration.php#L60"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/uncanny-automator/tags/7.3.1.4/src/integrations/google-contacts/google-contacts-integration.php#L70"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/uncanny-automator/tags/7.3.1.4/src/integrations/google-contacts/helpers/google-contacts-helper.php#L113"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/uncanny-automator/tags/7.3.1.4/src/integrations/mautic/helpers/mautic-app-helpers.php#L199"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/uncanny-automator/tags/7.3.1.4/src/integrations/mautic/helpers/mautic-app-helpers.php#L250"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/uncanny-automator/tags/7.3.1.4/src/integrations/mautic/helpers/mautic-app-helpers.php#L302"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/uncanny-automator/tags/7.3.1.4/src/integrations/mautic/mautic-integration.php#L60"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/changeset?reponame=\u0026old=3607785%40uncanny-automator\u0026new=3607785%40uncanny-automator"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/1bfa1538-7722-458d-a6a5-adde03e21e1a?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-862"
}
],
"source": "security@wordfence.com",
"type": "Secondary"
}
]
}
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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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
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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.
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.
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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.