FKIE_CVE-2026-87112
Vulnerability from fkie_nvd - Published: 2026-11-07 07:17 - Updated: 2026-11-08 19:17| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "QA Assistants \u2013 Driven by data",
"vendor": "quarka",
"versions": [
{
"lessThanOrEqual": "5.3.0",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The QA Assistants \u2013 Driven by data plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 5.3.0 via the \u0027dlevent_ver\u0027 parameter. This is due to unrestricted PHP deserialization via wrap_unserialize_static() calling unserialize() without an allowed_classes restriction, combined with serialize_escape() failing to sanitize path traversal sequences in the raw_name parameter. This makes it possible for unauthenticated attackers to inject a PHP Object. The Guzzle FileCookieJar gadget present in the plugin\u0027s bundled Composer dependencies can be leveraged to perform an Arbitrary File Write, writing attacker-controlled content to an attacker-chosen filename, which can result in Remote Code Execution. Exploitation requires triggering the qahm_cron_data_manage scheduled event via wp-cron.php to invoke the deserialization sink against a planted queue file, but this endpoint requires no authentication and fires automatically on a two-minute schedule."
}
],
"id": "CVE-2026-87112",
"lastModified": "2026-11-08T19:17:42.300",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "security@wordfence.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-87112",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-11-08T18:48:14.510484Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-11-07T07:17:05.090",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/qa-heatmap-analytics/tags/5.2.0.1/class-qahm-admin-page-realtime.php#L183"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/qa-heatmap-analytics/tags/5.2.0.1/class-qahm-base.php#L701"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/qa-heatmap-analytics/tags/5.2.0.1/class-qahm-behavioral-data.php#L770"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/qa-heatmap-analytics/tags/5.2.0.1/class-qahm-core-base.php#L780"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/qa-heatmap-analytics/tags/5.2.0.1/class-qahm-cron-proc.php#L698"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/qa-heatmap-analytics/tags/5.2.0.1/qahm-ajax.php#L319"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/qa-heatmap-analytics/tags/5.2.0.1/vendor/guzzlehttp/guzzle/src/Cookie/FileCookieJar.php#L38"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/changeset?reponame=\u0026old=3728466%40qa-heatmap-analytics\u0026new=3728466%40qa-heatmap-analytics"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/76c5b5f1-a04b-4219-b8c0-ee53139fa787?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-502"
}
],
"source": "security@wordfence.com",
"type": "Secondary"
}
]
}
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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.
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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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.