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CVE-2026-54522
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published on July 30, 2026
MessagePack for Ruby is an implementation of the MessagePack binary serialization format. Prior to 1.8.2, MessagePack::Buffer#clear in ext/msgpack/buffer.c leaves rmem_last, rmem_end, and rmem_owner stale after _msgpack_buffer_shift_chunk returns an rmem page to the shared pool, allowing a subsequent Buffer#write and a second MessagePack::Buffer to alias the page and disclose or corrupt cross-buffer data. This issue is fixed in version 1.8.2.
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CVE-2026-13117
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published on July 30, 2026
An incomplete guard in OpenVPN 2.6.0 through 2.6.20 and 2.7_alpha1 through 2.7.4 allows remote authenticated peers to trigger a use-after-free during TLS session promotion, potentially leading to a denial of service or memory leakage
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CVE-2026-13117
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published on July 30, 2026
An incomplete guard in OpenVPN 2.6.0 through 2.6.20 and 2.7_alpha1 through 2.7.4 allows remote authenticated peers to trigger a use-after-free during TLS session promotion, potentially leading to a denial of service or memory leakage
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CVE-2026-13117
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published on July 30, 2026
An incomplete guard in OpenVPN 2.6.0 through 2.6.20 and 2.7_alpha1 through 2.7.4 allows remote authenticated peers to trigger a use-after-free during TLS session promotion, potentially leading to a denial of service or memory leakage
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CVE-2026-13117
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published on July 30, 2026
An incomplete guard in OpenVPN 2.6.0 through 2.6.20 and 2.7_alpha1 through 2.7.4 allows remote authenticated peers to trigger a use-after-free during TLS session promotion, potentially leading to a denial of service or memory leakage
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CVE-2026-13117
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published on July 30, 2026
An incomplete guard in OpenVPN 2.6.0 through 2.6.20 and 2.7_alpha1 through 2.7.4 allows remote authenticated peers to trigger a use-after-free during TLS session promotion, potentially leading to a denial of service or memory leakage
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CVE-2026-13379
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published on July 30, 2026
The Windows interactive service in OpenVPN 2.7_alpha1 through 2.7.4 allows remote attackers to cause persistent DNS state pollution or a service crash via a crafted search domain during the disconnection process
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CVE-2026-13379
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published on July 30, 2026
The Windows interactive service in OpenVPN 2.7_alpha1 through 2.7.4 allows remote attackers to cause persistent DNS state pollution or a service crash via a crafted search domain during the disconnection process
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CVE-2026-13379
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published on July 30, 2026
The Windows interactive service in OpenVPN 2.7_alpha1 through 2.7.4 allows remote attackers to cause persistent DNS state pollution or a service crash via a crafted search domain during the disconnection process
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CVE-2026-13379
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published on July 30, 2026
The Windows interactive service in OpenVPN 2.7_alpha1 through 2.7.4 allows remote attackers to cause persistent DNS state pollution or a service crash via a crafted search domain during the disconnection process
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CVE-2026-13379
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published on July 30, 2026
The Windows interactive service in OpenVPN 2.7_alpha1 through 2.7.4 allows remote attackers to cause persistent DNS state pollution or a service crash via a crafted search domain during the disconnection process
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CVE-2026-54722
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published on July 30, 2026
DSSRF is a Node.js library that provides a wide range of utilities and advanced SSRF defense checks. Prior to 1.0.4, is_url_safe in src/helpers.ts strips the @ userinfo delimiter with remove_at_symbol_in_string before new URL parses the URL, allowing an attacker-controlled URL to bypass internal-IP validation and cause a client using the original URL to reach an internal service. This issue is fixed in version 1.0.4.
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CVE-2026-54722
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published on July 30, 2026
DSSRF is a Node.js library that provides a wide range of utilities and advanced SSRF defense checks. Prior to 1.0.4, is_url_safe in src/helpers.ts strips the @ userinfo delimiter with remove_at_symbol_in_string before new URL parses the URL, allowing an attacker-controlled URL to bypass internal-IP validation and cause a client using the original URL to reach an internal service. This issue is fixed in version 1.0.4.
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CVE-2026-54722
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published on July 30, 2026
DSSRF is a Node.js library that provides a wide range of utilities and advanced SSRF defense checks. Prior to 1.0.4, is_url_safe in src/helpers.ts strips the @ userinfo delimiter with remove_at_symbol_in_string before new URL parses the URL, allowing an attacker-controlled URL to bypass internal-IP validation and cause a client using the original URL to reach an internal service. This issue is fixed in version 1.0.4.
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CVE-2026-54722
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published on July 30, 2026
DSSRF is a Node.js library that provides a wide range of utilities and advanced SSRF defense checks. Prior to 1.0.4, is_url_safe in src/helpers.ts strips the @ userinfo delimiter with remove_at_symbol_in_string before new URL parses the URL, allowing an attacker-controlled URL to bypass internal-IP validation and cause a client using the original URL to reach an internal service. This issue is fixed in version 1.0.4.
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CVE-2026-54722
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published on July 30, 2026
DSSRF is a Node.js library that provides a wide range of utilities and advanced SSRF defense checks. Prior to 1.0.4, is_url_safe in src/helpers.ts strips the @ userinfo delimiter with remove_at_symbol_in_string before new URL parses the URL, allowing an attacker-controlled URL to bypass internal-IP validation and cause a client using the original URL to reach an internal service. This issue is fixed in version 1.0.4.
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CVE-2026-62663
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published on July 30, 2026
Banks generates meaningful LLM prompts using a simple template language. In versions prior to 2.4.4, all four media filters (image, audio, video, document) in banks accept untrusted user input as file paths via Path(value) and pass them directly to open(file_path, "rb") without any path sanitization, canonicalization, or directory restriction. An attacker who controls template variables passed to a banks Prompt can use path traversal (../) to read arbitrary files accessible to the Python process—including .env files, SSH keys, cloud credentials, source code, /etc/passwd, and /etc/shadow—with the content returned base64-encoded in the rendered prompt output, making exfiltration trivial. This is particularly dangerous for applications that use banks to process user-provided template variables before sending prompts to an LLM. This issue has been fixed in version 2.4.4.
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CVE-2026-62663
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published on July 30, 2026
Banks generates meaningful LLM prompts using a simple template language. In versions prior to 2.4.4, all four media filters (image, audio, video, document) in banks accept untrusted user input as file paths via Path(value) and pass them directly to open(file_path, "rb") without any path sanitization, canonicalization, or directory restriction. An attacker who controls template variables passed to a banks Prompt can use path traversal (../) to read arbitrary files accessible to the Python process—including .env files, SSH keys, cloud credentials, source code, /etc/passwd, and /etc/shadow—with the content returned base64-encoded in the rendered prompt output, making exfiltration trivial. This is particularly dangerous for applications that use banks to process user-provided template variables before sending prompts to an LLM. This issue has been fixed in version 2.4.4.
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CVE-2026-62663
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published on July 30, 2026
Banks generates meaningful LLM prompts using a simple template language. In versions prior to 2.4.4, all four media filters (image, audio, video, document) in banks accept untrusted user input as file paths via Path(value) and pass them directly to open(file_path, "rb") without any path sanitization, canonicalization, or directory restriction. An attacker who controls template variables passed to a banks Prompt can use path traversal (../) to read arbitrary files accessible to the Python process—including .env files, SSH keys, cloud credentials, source code, /etc/passwd, and /etc/shadow—with the content returned base64-encoded in the rendered prompt output, making exfiltration trivial. This is particularly dangerous for applications that use banks to process user-provided template variables before sending prompts to an LLM. This issue has been fixed in version 2.4.4.
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CVE-2026-62663
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published on July 30, 2026
Banks generates meaningful LLM prompts using a simple template language. In versions prior to 2.4.4, all four media filters (image, audio, video, document) in banks accept untrusted user input as file paths via Path(value) and pass them directly to open(file_path, "rb") without any path sanitization, canonicalization, or directory restriction. An attacker who controls template variables passed to a banks Prompt can use path traversal (../) to read arbitrary files accessible to the Python process—including .env files, SSH keys, cloud credentials, source code, /etc/passwd, and /etc/shadow—with the content returned base64-encoded in the rendered prompt output, making exfiltration trivial. This is particularly dangerous for applications that use banks to process user-provided template variables before sending prompts to an LLM. This issue has been fixed in version 2.4.4.