A malicious user could craft input that is stored in conversation memory and later interpreted by the model in an unintended way. Applications using the affected advisor with user-controlled input may be susceptible to manipulation of model behavior across conversation turns.
{
"unresolved_ranges": [
{
"source": "AFFECTED_FIELD",
"extracted_events": [
{
"introduced": "1.0.0"
},
{
"fixed": "1.0.7"
},
{
"introduced": "1.1.0"
},
{
"fixed": "1.1.6"
}
]
}
],
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/41xxx/CVE-2026-41713.json",
"cna_assigner": "vmware",
"cwe_ids": [
"CWE-1336"
]
}