Описание
SQLite before 3.53.2 contains memory corruption vulnerabilities in the FTS5 full-text search extension that allow attackers to cause process crashes, memory exhaustion, or arbitrary code execution by supplying a crafted database with malformed FTS5 page data. Attackers can trigger an out-of-bounds read in fts5LeafSeek() via an attacker-controlled loop bound and a heap buffer overflow write in fts5ChunkIterate() through a crafted continuation page causing an integer underflow, exploitable when an FTS5 MATCH query is executed against the malicious database.
A flaw was found in SQLite's FTS5 full-text search extension. This vulnerability involves memory corruption, specifically an out-of-bounds read and a heap buffer overflow, which can be triggered by supplying a crafted database with malformed FTS5 page data. When an FTS5 MATCH query is executed against such a database, an attacker can cause process crashes, memory exhaustion, or achieve arbitrary code execution, potentially compromising the system.
Отчет
Important: This flaw in the SQLite FTS5 full-text search extension can lead to arbitrary code execution or denial of service. Exploitation requires an application to process a specially crafted SQLite database containing malformed FTS5 page data, which could occur if an attacker provides a malicious database to a vulnerable application. This risk is elevated in scenarios where applications handle untrusted SQLite database files.
Меры по смягчению последствий
Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.
Затронутые пакеты
| Платформа | Пакет | Состояние | Рекомендация | Релиз |
|---|---|---|---|---|
| Exploit Intelligence | exploit-intelligence-tech-preview/agent-client-rhel9 | Affected | ||
| Red Hat AI Inference Server | rhaiis/vllm-cpu-rhel9 | Will not fix | ||
| Red Hat AI Inference Server | rhaiis/vllm-neuron-rhel9 | Will not fix | ||
| Red Hat AI Inference Server | rhaiis/vllm-tpu-rhel9 | Will not fix | ||
| Red Hat AI Inference Server | rhaii/vllm-neuron-rhel9 | Will not fix | ||
| Red Hat AI Inference Server | rhaii/vllm-tpu-rhel9 | Will not fix | ||
| Red Hat Enterprise Linux 6 | sqlite | Out of support scope | ||
| Red Hat Enterprise Linux 7 | sqlite | Not affected | ||
| Red Hat Enterprise Linux 8 | rust-toolset:rhel8/rust | Not affected | ||
| Red Hat Enterprise Linux 9 | rust | Not affected |
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Дополнительная информация
Статус:
EPSS
7.8 High
CVSS3
Связанные уязвимости
SQLite before 3.53.2 contains an out-of-bounds read vulnerability in the FTS5 full-text search extension that allows attackers to crash the process by supplying a crafted database with a malformed FTS5 leaf page. Attackers can set an oversized term length in the leaf page so that fts5LeafSeek() reads past the end of the page buffer while comparing terms during an FTS5 MATCH query, in applications compiled with SQLITE_ENABLE_FTS5.
SQLite before 3.53.2 contains an out-of-bounds read vulnerability in the FTS5 full-text search extension that allows attackers to crash the process by supplying a crafted database with a malformed FTS5 leaf page. Attackers can set an oversized term length in the leaf page so that fts5LeafSeek() reads past the end of the page buffer while comparing terms during an FTS5 MATCH query, in applications compiled with SQLITE_ENABLE_FTS5.
SQLite before 3.53.2 contains an out-of-bounds read vulnerability in t ...
SQLite before 3.53.2 contains memory corruption vulnerabilities in the FTS5 full-text search extension that allow attackers to cause process crashes, memory exhaustion, or arbitrary code execution by supplying a crafted database with malformed FTS5 page data. Attackers can trigger an out-of-bounds read in fts5LeafSeek() via an attacker-controlled loop bound and a heap buffer overflow write in fts5ChunkIterate() through a crafted continuation page causing an integer underflow, exploitable when an FTS5 MATCH query is executed against the malicious database.
EPSS
7.8 High
CVSS3