Every CVE Search/ Get API key

CVE-2026-107289

Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifier (incomplete fix for CVE-2026-46678 and CVE-2026-48782)

6.8 MediumFix available

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.56.0 until 1.107.6 and 2.44.0, applications that opt attacker-influenced URLs into local network access through FileUrl with force_download='allow-local' or web_fetch_tool with allow_local_urls=True can bypass the cloud-metadata blocklist by appending an IPv6 zone identifier to an IPv6 metadata address. IPv6Address equality and hashing include the zone identifier, so the blocklist comparison fails even though the network stack ignores the zone on a non-link-local destination and reaches the metadata service, potentially exposing cloud IAM credentials. The opt-in settings are disabled by default, and the issue requires an IPv6-enabled environment. This issue is fixed in versions 1.107.6 and 2.44.0.

Attack profile

How easy it is to exploit

Attack vector
Network
Complexity
High
Privileges needed
None
User interaction
None

What an attacker can affect

Confidentiality
High
Integrity
None
Availability
None

Exploit likelihood

0.39%Up 0.1 points since Oct 9, 2026
90%50%10%1%

What each source reports

CVE List Score used 6.8

Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifier (incomplete fix for CVE-2026-46678 and CVE-2026-48782)

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.56.0 until 1.107.6 and 2.44.0, applications that opt attacker-influenced URLs into local network access through FileUrl with force_download='allow-local' or web_fetch_tool with allow_local_urls=True can bypass the cloud-metadata blocklist by appending an IPv6 zone identifier to an IPv6 metadata address. IPv6Address equality and hashing include the zone identifier, so the blocklist comparison fails even though the network stack ignores the zone on a non-link-local destination and reaches the metadata service, potentially exposing cloud IAM credentials. The opt-in settings are disabled by default, and the issue requires an IPv6-enabled environment. This issue is fixed in versions 1.107.6 and 2.44.0.

Record
CVE-2026-107289
CVSS 3.1
6.8 MediumCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N
Weakness
CWE-918, CWE-1289
Updated
2026-11-02
EUVDEUVD-2026-95077 6.8

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.56.0 until 1.107.6 and 2.44.0, applications that opt attacker-influenced URLs into local network access through FileUrl with force_download='allow-local' or web_fetch_tool with allow_local_urls=True can bypass the cloud-metadata blocklist by appending an IPv6 zone identifier to an IPv6 metadata address. IPv6Address equality and hashing include the zone identifier, so the blocklist comparison fails even though the network stack ignores the zone on a non-link-local destination and reaches the metadata service, potentially exposing cloud IAM credentials. The opt-in settings are disabled by default, and the issue requires an IPv6-enabled environment. This issue is fixed in versions 1.107.6 and 2.44.0.

Record
EUVD-2026-95077
CVSS 3.1
6.8 MediumCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N
Updated
2026-11-02
GitHub AdvisoriesGHSA-vmxc-h2x2-jmf3 6.8

Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers

Summary

When an application using Pydantic AI opts a URL into local network access — either a FileUrl with force_download='allow-local', or web_fetch_tool(allow_local_urls=True) — the cloud-metadata blocklist could be bypassed by appending an IPv6 zone identifier to a metadata address (for example fd00:ec2::254%251). The host ignores the zone identifier on a destination that is not link-local and delivers the request to the metadata endpoint anyway, exposing cloud IAM short-term credentials.

This is an incomplete fix of GHSA-cqp8-fcvh-x7r3 / CVE-2026-46678 and GHSA-cg7w-rg45-pc59 / CVE-2026-48782, themselves follow-ups to CVE-2026-25580. The parent advisory's remediation guaranteed that cloud metadata endpoints are always blocked, even with local access allowed. That guarantee did not hold for zone-scoped spellings of the IPv6 metadata endpoints.

Details

The cloud-metadata guard compared IPv6 addresses against its blocklist by set membership. Python includes the zone identifier in IPv6Address equality and hashing, so a zone-scoped spelling of a blocked address did not match, while the network stack ignores the zone identifier for a destination that is not link-local. The private-range checks, and the IPv4 and transition-form metadata checks, were already unaffected, because they compare by network containment and by packed bytes respectively.

Only the IPv6 cloud metadata endpoints were reachable this way, so the issue requires an IPv6-enabled environment — for example AWS EC2 or EKS with IPv6, GCP IPv6-only instances, or Scaleway.

Who Is Affected

You are affected only if your application opts a URL that is, or could be, influenced by untrusted input into local network access, through either:

  • a FileUrl (ImageUrl, AudioUrl, VideoUrl, DocumentUrl) with force_download='allow-local'; or
  • web_fetch_tool(allow_local_urls=True), where the model chooses the URL.

Both are off by default.

You are not affected through the FileUrl path if you use any of the bundled integrations to ingest user input, because they do not propagate force_download from external data:

  • Agent.to_web / clai web
  • VercelAIAdapter
  • AGUIAdapter / Agent.to_ag_ui

web_fetch_tool is configured by your own application, so a client cannot turn on allow_local_urls.

Applications that only download from developer-controlled URLs are not affected.

Remediation

Upgrade to a patched version. The cloud-metadata and private-IP checks now drop an IPv6 zone identifier before evaluating the address, so every blocklist comparison is made on the address itself. A zone identifier is still carried on the connection, so legitimate link-local fetches under local network access continue to work.

Workaround for Unpatched Versions

Avoid opting into local network access — force_download='allow-local' or web_fetch_tool(allow_local_urls=True) — on any URL that could be influenced by untrusted input. If you must, reject URL hosts containing % before constructing the FileUrl or configuring the tool.

Credits

Reported by @euriconicacio.

Record
GHSA-vmxc-h2x2-jmf3
CVSS 3.1
6.8 MediumCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N
Weakness
CWE-918, CWE-1289
Updated
2026-11-02
NVD 6.8

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.56.0 until 1.107.6 and 2.44.0, applications that opt attacker-influenced URLs into local network access through FileUrl with force_download='allow-local' or web_fetch_tool with allow_local_urls=True can bypass the cloud-metadata blocklist by appending an IPv6 zone identifier to an IPv6 metadata address. IPv6Address equality and hashing include the zone identifier, so the blocklist comparison fails even though the network stack ignores the zone on a non-link-local destination and reaches the metadata service, potentially exposing cloud IAM credentials. The opt-in settings are disabled by default, and the issue requires an IPv6-enabled environment. This issue is fixed in versions 1.107.6 and 2.44.0.

Record
CVE-2026-107289
CVSS 3.1
6.8 MediumCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N
Weakness
CWE-918, CWE-1289
Updated
2026-11-02
OSV 6.8

Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifier (incomplete fix for CVE-2026-46678 and CVE-2026-48782)

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.56.0 until 1.107.6 and 2.44.0, applications that opt attacker-influenced URLs into local network access through FileUrl with force_download='allow-local' or web_fetch_tool with allow_local_urls=True can bypass the cloud-metadata blocklist by appending an IPv6 zone identifier to an IPv6 metadata address. IPv6Address equality and hashing include the zone identifier, so the blocklist comparison fails even though the network stack ignores the zone on a non-link-local destination and reaches the metadata service, potentially exposing cloud IAM credentials. The opt-in settings are disabled by default, and the issue requires an IPv6-enabled environment. This issue is fixed in versions 1.107.6 and 2.44.0.

Record
CVE-2026-107289
CVSS 3.1
6.8 MediumCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N
Weakness
CWE-1289, CWE-918
Updated
2026-11-07
OSVGHSA-vmxc-h2x2-jmf3 6.8

Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers

Summary

When an application using Pydantic AI opts a URL into local network access — either a FileUrl with force_download='allow-local', or web_fetch_tool(allow_local_urls=True) — the cloud-metadata blocklist could be bypassed by appending an IPv6 zone identifier to a metadata address (for example fd00:ec2::254%251). The host ignores the zone identifier on a destination that is not link-local and delivers the request to the metadata endpoint anyway, exposing cloud IAM short-term credentials.

This is an incomplete fix of GHSA-cqp8-fcvh-x7r3 / CVE-2026-46678 and GHSA-cg7w-rg45-pc59 / CVE-2026-48782, themselves follow-ups to CVE-2026-25580. The parent advisory's remediation guaranteed that cloud metadata endpoints are always blocked, even with local access allowed. That guarantee did not hold for zone-scoped spellings of the IPv6 metadata endpoints.

Details

The cloud-metadata guard compared IPv6 addresses against its blocklist by set membership. Python includes the zone identifier in IPv6Address equality and hashing, so a zone-scoped spelling of a blocked address did not match, while the network stack ignores the zone identifier for a destination that is not link-local. The private-range checks, and the IPv4 and transition-form metadata checks, were already unaffected, because they compare by network containment and by packed bytes respectively.

Only the IPv6 cloud metadata endpoints were reachable this way, so the issue requires an IPv6-enabled environment — for example AWS EC2 or EKS with IPv6, GCP IPv6-only instances, or Scaleway.

Who Is Affected

You are affected only if your application opts a URL that is, or could be, influenced by untrusted input into local network access, through either:

  • a FileUrl (ImageUrl, AudioUrl, VideoUrl, DocumentUrl) with force_download='allow-local'; or
  • web_fetch_tool(allow_local_urls=True), where the model chooses the URL.

Both are off by default.

You are not affected through the FileUrl path if you use any of the bundled integrations to ingest user input, because they do not propagate force_download from external data:

  • Agent.to_web / clai web
  • VercelAIAdapter
  • AGUIAdapter / Agent.to_ag_ui

web_fetch_tool is configured by your own application, so a client cannot turn on allow_local_urls.

Applications that only download from developer-controlled URLs are not affected.

Remediation

Upgrade to a patched version. The cloud-metadata and private-IP checks now drop an IPv6 zone identifier before evaluating the address, so every blocklist comparison is made on the address itself. A zone identifier is still carried on the connection, so legitimate link-local fetches under local network access continue to work.

Workaround for Unpatched Versions

Avoid opting into local network access — force_download='allow-local' or web_fetch_tool(allow_local_urls=True) — on any URL that could be influenced by untrusted input. If you must, reject URL hosts containing % before constructing the FileUrl or configuring the tool.

Credits

Reported by @euriconicacio.

Record
GHSA-vmxc-h2x2-jmf3
CVSS 3.1
6.8 MediumCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N
Weakness
CWE-1289, CWE-918
Updated
2026-11-02
OSVPYSEC-2026-4282 6.8

Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers

Summary

When an application using Pydantic AI opts a URL into local network access — either a FileUrl with force_download='allow-local', or web_fetch_tool(allow_local_urls=True) — the cloud-metadata blocklist could be bypassed by appending an IPv6 zone identifier to a metadata address (for example fd00:ec2::254%251). The host ignores the zone identifier on a destination that is not link-local and delivers the request to the metadata endpoint anyway, exposing cloud IAM short-term credentials.

This is an incomplete fix of GHSA-cqp8-fcvh-x7r3 / CVE-2026-46678 and GHSA-cg7w-rg45-pc59 / CVE-2026-48782, themselves follow-ups to CVE-2026-25580. The parent advisory's remediation guaranteed that cloud metadata endpoints are always blocked, even with local access allowed. That guarantee did not hold for zone-scoped spellings of the IPv6 metadata endpoints.

Details

The cloud-metadata guard compared IPv6 addresses against its blocklist by set membership. Python includes the zone identifier in IPv6Address equality and hashing, so a zone-scoped spelling of a blocked address did not match, while the network stack ignores the zone identifier for a destination that is not link-local. The private-range checks, and the IPv4 and transition-form metadata checks, were already unaffected, because they compare by network containment and by packed bytes respectively.

Only the IPv6 cloud metadata endpoints were reachable this way, so the issue requires an IPv6-enabled environment — for example AWS EC2 or EKS with IPv6, GCP IPv6-only instances, or Scaleway.

Who Is Affected

You are affected only if your application opts a URL that is, or could be, influenced by untrusted input into local network access, through either:

  • a FileUrl (ImageUrl, AudioUrl, VideoUrl, DocumentUrl) with force_download='allow-local'; or
  • web_fetch_tool(allow_local_urls=True), where the model chooses the URL.

Both are off by default.

You are not affected through the FileUrl path if you use any of the bundled integrations to ingest user input, because they do not propagate force_download from external data:

  • Agent.to_web / clai web
  • VercelAIAdapter
  • AGUIAdapter / Agent.to_ag_ui

web_fetch_tool is configured by your own application, so a client cannot turn on allow_local_urls.

Applications that only download from developer-controlled URLs are not affected.

Remediation

Upgrade to a patched version. The cloud-metadata and private-IP checks now drop an IPv6 zone identifier before evaluating the address, so every blocklist comparison is made on the address itself. A zone identifier is still carried on the connection, so legitimate link-local fetches under local network access continue to work.

Workaround for Unpatched Versions

Avoid opting into local network access — force_download='allow-local' or web_fetch_tool(allow_local_urls=True) — on any URL that could be influenced by untrusted input. If you must, reject URL hosts containing % before constructing the FileUrl or configuring the tool.

Credits

Reported by @euriconicacio.

Record
PYSEC-2026-4282
CVSS 3.1
6.8 MediumCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N
Updated
2026-11-02
OSVPYSEC-2026-4291 6.8

Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers

Summary

When an application using Pydantic AI opts a URL into local network access — either a FileUrl with force_download='allow-local', or web_fetch_tool(allow_local_urls=True) — the cloud-metadata blocklist could be bypassed by appending an IPv6 zone identifier to a metadata address (for example fd00:ec2::254%251). The host ignores the zone identifier on a destination that is not link-local and delivers the request to the metadata endpoint anyway, exposing cloud IAM short-term credentials.

This is an incomplete fix of GHSA-cqp8-fcvh-x7r3 / CVE-2026-46678 and GHSA-cg7w-rg45-pc59 / CVE-2026-48782, themselves follow-ups to CVE-2026-25580. The parent advisory's remediation guaranteed that cloud metadata endpoints are always blocked, even with local access allowed. That guarantee did not hold for zone-scoped spellings of the IPv6 metadata endpoints.

Details

The cloud-metadata guard compared IPv6 addresses against its blocklist by set membership. Python includes the zone identifier in IPv6Address equality and hashing, so a zone-scoped spelling of a blocked address did not match, while the network stack ignores the zone identifier for a destination that is not link-local. The private-range checks, and the IPv4 and transition-form metadata checks, were already unaffected, because they compare by network containment and by packed bytes respectively.

Only the IPv6 cloud metadata endpoints were reachable this way, so the issue requires an IPv6-enabled environment — for example AWS EC2 or EKS with IPv6, GCP IPv6-only instances, or Scaleway.

Who Is Affected

You are affected only if your application opts a URL that is, or could be, influenced by untrusted input into local network access, through either:

  • a FileUrl (ImageUrl, AudioUrl, VideoUrl, DocumentUrl) with force_download='allow-local'; or
  • web_fetch_tool(allow_local_urls=True), where the model chooses the URL.

Both are off by default.

You are not affected through the FileUrl path if you use any of the bundled integrations to ingest user input, because they do not propagate force_download from external data:

  • Agent.to_web / clai web
  • VercelAIAdapter
  • AGUIAdapter / Agent.to_ag_ui

web_fetch_tool is configured by your own application, so a client cannot turn on allow_local_urls.

Applications that only download from developer-controlled URLs are not affected.

Remediation

Upgrade to a patched version. The cloud-metadata and private-IP checks now drop an IPv6 zone identifier before evaluating the address, so every blocklist comparison is made on the address itself. A zone identifier is still carried on the connection, so legitimate link-local fetches under local network access continue to work.

Workaround for Unpatched Versions

Avoid opting into local network access — force_download='allow-local' or web_fetch_tool(allow_local_urls=True) — on any URL that could be influenced by untrusted input. If you must, reject URL hosts containing % before constructing the FileUrl or configuring the tool.

Credits

Reported by @euriconicacio.

Record
PYSEC-2026-4291
CVSS 3.1
6.8 MediumCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
pydantic-ai
PyPI
1.56.0 up to 1.107.6
1.107.6
pydantic-ai
PyPI
2.0.0b1 up to 2.44.0
2.44.0
pydantic-ai-slim
PyPI
1.56.0 up to 1.107.6
1.107.6
pydantic-ai-slim
PyPI
2.0.0b1 up to 2.44.0
2.44.0
pydantic-ai
PyPI
1.56.0 up to 1.107.6, plus listed versions
1.100.01.101.01.102.01.103.01.104.0
Show 45 moreShow less
1.105.01.106.01.107.01.107.11.107.21.107.41.107.51.57.01.58.01.59.01.60.01.61.01.62.01.63.01.64.01.65.01.66.01.67.01.68.01.69.01.70.01.71.01.72.01.73.01.74.01.75.01.76.01.77.01.78.01.79.01.80.01.81.01.82.01.83.01.84.01.84.11.85.01.85.11.86.01.86.11.87.01.88.01.89.01.89.11.90.0
1.107.6
pydantic-ai
PyPI
2.0.0b1 up to 2.44.0, plus listed versions
2.0.02.0.0b22.0.0b32.0.0b42.0.0b5
Show 45 moreShow less
2.0.0b62.0.0b72.1.02.10.02.11.02.12.02.13.02.14.02.14.12.15.02.16.02.17.02.18.02.19.02.2.02.20.02.21.02.22.02.23.02.24.02.25.02.26.02.27.02.27.12.28.02.29.02.3.02.30.02.31.02.31.12.32.02.32.12.32.22.33.02.34.02.35.02.35.12.35.32.36.02.37.02.38.02.39.02.4.02.40.02.41.0
2.44.0
pydantic-ai-slim
PyPI
1.56.0 up to 1.107.6, plus listed versions
1.100.01.101.01.102.01.103.01.104.0
Show 45 moreShow less
1.105.01.106.01.107.01.107.11.107.21.107.41.107.51.57.01.58.01.59.01.60.01.61.01.62.01.63.01.64.01.65.01.66.01.67.01.68.01.69.01.70.01.71.01.72.01.73.01.74.01.75.01.76.01.77.01.78.01.79.01.80.01.81.01.82.01.83.01.84.01.84.11.85.01.85.11.86.01.86.11.87.01.88.01.89.01.89.11.90.0
1.107.6
pydantic-ai-slim
PyPI
2.0.0b1 up to 2.44.0, plus listed versions
2.0.02.0.0b22.0.0b32.0.0b42.0.0b5
Show 45 moreShow less
2.0.0b62.0.0b72.1.02.10.02.11.02.12.02.13.02.14.02.14.12.15.02.16.02.17.02.18.02.19.02.2.02.20.02.21.02.22.02.23.02.24.02.25.02.26.02.27.02.27.12.28.02.29.02.3.02.30.02.31.02.31.12.32.02.32.12.32.22.33.02.34.02.35.02.35.12.35.32.36.02.37.02.38.02.39.02.4.02.40.02.41.0
2.44.0
pydantic-ai
PyPI
1.56.0 up to 1.107.6, 2.0.0b1 up to 2.44.0, plus listed versions
1.100.01.101.01.102.01.103.01.104.0
Show 45 moreShow less
1.105.01.106.01.107.01.107.11.107.21.107.41.107.51.57.01.58.01.59.01.60.01.61.01.62.01.63.01.64.01.65.01.66.01.67.01.68.01.69.01.70.01.71.01.72.01.73.01.74.01.75.01.76.01.77.01.78.01.79.01.80.01.81.01.82.01.83.01.84.01.84.11.85.01.85.11.86.01.86.11.87.01.88.01.89.01.89.11.90.0
1.107.62.44.0
pydantic-ai-slim
PyPI
1.56.0 up to 1.107.6, 2.0.0b1 up to 2.44.0, plus listed versions
1.100.01.101.01.102.01.103.01.104.0
Show 45 moreShow less
1.105.01.106.01.107.01.107.11.107.21.107.41.107.51.57.01.58.01.59.01.60.01.61.01.62.01.63.01.64.01.65.01.66.01.67.01.68.01.69.01.70.01.71.01.72.01.73.01.74.01.75.01.76.01.77.01.78.01.79.01.80.01.81.01.82.01.83.01.84.01.84.11.85.01.85.11.86.01.86.11.87.01.88.01.89.01.89.11.90.0
1.107.62.44.0

History

History
RecordedChangedSources
factsOSV
first indexedCVE List, EUVD, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2026-107289 is a medium vulnerability (CVSS 6.8) in Pydantic Ai, published October 8, 2026. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.39%, the 33rd percentile. Fixed in pydantic-ai 1.107.6.

References

Show 7 moreShow less
This page doesn't list everything

Left out here: 180 versions. The JSON record has them.

MoveEnter Open