FKIE_CVE-2026-88816
Vulnerability from fkie_nvd - Published: 2026-09-28 17:17 - Updated: 2026-09-30 20:17
Severity
Summary
DBI versions before 1.654 for Perl incorrectly treat numeric values as strings in FetchHashKeyName.
fetchrow_hashref uses the string pointer of the FetchHashKeyName attribute as the key name without stringifying it first. When FetchHashKeyName has been set to an integer (IV) or floating-point (NV) value, that pointer is invalid, so reading the key name triggers a segmentation fault.
This can be triggered with the following code:
my $dbh = DBI->connect( "dbi:ExampleP:", "", "",
{ RaiseError => 0, PrintError => 0 } );
$dbh->{FetchHashKeyName} = 42;
my $sth = $dbh->prepare("select mode, size, name from .");
$sth->execute;
$sth->fetchrow_hashref;
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://cpan.org/modules",
"defaultStatus": "unaffected",
"modules": [
"DBI"
],
"packageName": "DBI",
"packageURL": "pkg:cpan/DBI",
"programFiles": [
"DBI.xs"
],
"programRoutines": [
{
"name": "DBD::_::st::fetchrow_hashref"
}
],
"repo": "https://github.com/perl5-dbi/dbi",
"versions": [
{
"lessThan": "1.654",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "DBI versions before 1.654 for Perl incorrectly treat numeric values as strings in FetchHashKeyName.\n\nfetchrow_hashref uses the string pointer of the FetchHashKeyName attribute as the key name without stringifying it first. When FetchHashKeyName has been set to an integer (IV) or floating-point (NV) value, that pointer is invalid, so reading the key name triggers a segmentation fault.\n\nThis can be triggered with the following code:\n\n my $dbh = DBI-\u003econnect( \"dbi:ExampleP:\", \"\", \"\",\n { RaiseError =\u003e 0, PrintError =\u003e 0 } );\n $dbh-\u003e{FetchHashKeyName} = 42;\n\n my $sth = $dbh-\u003eprepare(\"select mode, size, name from .\");\n $sth-\u003eexecute;\n $sth-\u003efetchrow_hashref;"
}
],
"id": "CVE-2026-88816",
"lastModified": "2026-09-30T20:17:35.557",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-88816",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-30T19:51:15.598426Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-28T17:17:52.203",
"references": [
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"url": "https://github.com/perl5-dbi/dbi/commit/70962570212dc60a5428098cf2a0462ad5945851.patch"
},
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"url": "https://github.com/perl5-dbi/dbi/security/advisories/GHSA-f4qx-mr9m-q2hq"
},
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"url": "https://metacpan.org/release/HMBRAND/DBI-1.654/changes"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.openwall.com/lists/oss-security/2026/09/28/13"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/perl5-dbi/dbi/security/advisories/GHSA-f4qx-mr9m-q2hq"
}
],
"sourceIdentifier": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-843"
}
],
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"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.
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- 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.
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.
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