PYSEC-2026-1611
Vulnerability from pysec - Published: 2026-07-07 14:34 - Updated: 2026-07-07 17:24
VLAI
Details
Impact
Synapse versions before 1.120.1 fail to properly validate invites received over federation. This vulnerability allows a malicious server to send a specially crafted invite that disrupts the invited user's /sync functionality.
Patches
Synapse 1.120.1 rejects such invalid invites received over federation and restores the ability to sync for affected users.
Workarounds
Server administrators can disable federation from untrusted servers.
For more information
If you have any questions or comments about this advisory, please email us at security at element.io.
Severity
Impacted products
| Name | purl | matrix-synapse | pkg:pypi/matrix-synapse |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "matrix-synapse",
"purl": "pkg:pypi/matrix-synapse"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.120.1"
}
],
"type": "ECOSYSTEM"
}
],
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}
],
"aliases": [
"CVE-2024-52815",
"GHSA-f3r3-h2mq-hx2h"
],
"details": "### Impact\n\nSynapse versions before 1.120.1 fail to properly validate invites received over federation. This vulnerability allows a malicious server to send a specially crafted invite that disrupts the invited user\u0027s `/sync` functionality.\n\n### Patches\n\nSynapse 1.120.1 rejects such invalid invites received over federation and restores the ability to sync for affected users.\n\n### Workarounds\n\nServer administrators can disable federation from untrusted servers.\n\n### For more information\n\nIf you have any questions or comments about this advisory, please email us at [security at element.io](mailto:security@element.io).\n",
"id": "PYSEC-2026-1611",
"modified": "2026-07-07T17:24:38.661129Z",
"published": "2026-07-07T14:34:46.390890Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/element-hq/synapse/security/advisories/GHSA-f3r3-h2mq-hx2h"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-52815"
},
{
"type": "PACKAGE",
"url": "https://github.com/element-hq/synapse"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/matrix-synapse"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-f3r3-h2mq-hx2h"
}
],
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Synapse allows a a malformed invite to break the invitee\u0027s `/sync`"
}
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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.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- 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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