FKIE_CVE-2026-63039
Vulnerability from fkie_nvd - Published: 2026-08-20 16:17 - Updated: 2026-08-20 17:19
Severity
Summary
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache InLong. This allows an attacker to inject the string value into
the SQL statement, enabling SQL injection.
This issue affects Apache InLong: from 2.0.0 before 2.4.0.
Users are advised to upgrade to Apache InLong's 2.4.0 or cherry-pick [1] to solve it.
[1] https://github.com/apache/inlong/pull/12080 .
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Apache InLong",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThan": "2.4.0",
"status": "affected",
"version": "2.0.0",
"versionType": "semver"
}
]
}
],
"source": "security@apache.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027) vulnerability in Apache InLong. This allows an attacker to inject\u00a0the string value into\nthe SQL statement, enabling SQL injection.\n\n\nThis issue affects Apache InLong: from 2.0.0 before 2.4.0.\n\n\n\nUsers are advised to upgrade to Apache InLong\u0027s 2.4.0 or cherry-pick [1] to solve it.\n\n[1] https://github.com/apache/inlong/pull/12080 ."
}
],
"id": "CVE-2026-63039",
"lastModified": "2026-08-20T17:19:14.497",
"metrics": {},
"published": "2026-08-20T16:17:29.877",
"references": [
{
"source": "security@apache.org",
"url": "https://lists.apache.org/thread/wzpsgwcx2hxj025pcml0loxr16kl93qt"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.openwall.com/lists/oss-security/2026/08/20/13"
}
],
"sourceIdentifier": "security@apache.org",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "security@apache.org",
"type": "Secondary"
}
]
}
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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.
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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.
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.
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