FKIE_CVE-2026-24819
Vulnerability from fkie_nvd - Published: 2026-01-27 09:15 - Updated: 2026-06-17 10:23
Severity
Summary
Improperly Controlled Sequential Memory Allocation vulnerability in foxinmy weixin4j (weixin4j-base/src/main/java/com/foxinmy/weixin4j/util modules). This vulnerability is associated with program files CharArrayBuffer.Java, ClassUtil.Java.
This issue affects weixin4j.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://github.com/foxinmy/weixin4j",
"defaultStatus": "affected",
"modules": [
"weixin4j-base/src/main/java/com/foxinmy/weixin4j/util"
],
"product": "weixin4j",
"programFiles": [
"CharArrayBuffer.java",
"ClassUtil.java"
],
"vendor": "foxinmy",
"versions": [
{
"status": "unknown",
"version": "0",
"versionType": "git"
}
]
}
],
"source": "cve_disclosure@tech.gov.sg"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Improperly Controlled Sequential Memory Allocation vulnerability in foxinmy weixin4j (weixin4j-base/src/main/java/com/foxinmy/weixin4j/util modules). This vulnerability is associated with program files CharArrayBuffer.Java, ClassUtil.Java.\n\nThis issue affects weixin4j."
},
{
"lang": "es",
"value": "Vulnerabilidad de asignaci\u00f3n de memoria secuencial controlada de forma inadecuada en foxinmy weixin4j (m\u00f3dulos weixin4j-base/src/main/java/com/foxinmy/weixin4j/util). Esta vulnerabilidad est\u00e1 asociada con los archivos de programa CharArrayBuffer.Java, ClassUtil.Java.\n\nEste problema afecta a weixin4j."
}
],
"id": "CVE-2026-24819",
"lastModified": "2026-06-17T10:23:38.857",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "YES",
"Recovery": "AUTOMATIC",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 6.3,
"baseSeverity": "MEDIUM",
"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": "NONE",
"providerUrgency": "AMBER",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "LOW",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "DIFFUSE",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:L/VI:N/VA:N/SC:L/SI:N/SA:N/E:X/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:Y/R:A/V:D/RE:M/U:Amber",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "MODERATE"
},
"source": "cve_disclosure@tech.gov.sg",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-24819",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-01-27T17:01:29.695252Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-01-27T09:15:52.520",
"references": [
{
"source": "cve_disclosure@tech.gov.sg",
"url": "https://github.com/foxinmy/weixin4j/pull/229"
}
],
"sourceIdentifier": "cve_disclosure@tech.gov.sg",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-1325"
}
],
"source": "cve_disclosure@tech.gov.sg",
"type": "Secondary"
}
]
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
Loading…
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.
Loading…
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.
Loading…