PYSEC-2026-806
Vulnerability from pysec - Published: 2026-07-06 08:03 - Updated: 2026-07-07 11:30
VLAI
Details
An exponential ReDoS (Regular Expression Denial of Service) can be triggered in the eth-account PyPI package, when an attacker is able to supply arbitrary input to the encode_structured_data method
Severity
5.9 (Medium)
Impacted products
| Name | purl | eth-account | pkg:pypi/eth-account |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "eth-account",
"purl": "pkg:pypi/eth-account"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.5.9"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.1.0a1",
"0.1.0a2",
"0.2.0",
"0.2.0a0",
"0.2.1",
"0.2.2",
"0.2.3",
"0.3.0",
"0.4.0",
"0.5.0",
"0.5.1",
"0.5.2",
"0.5.3",
"0.5.4",
"0.5.5",
"0.5.6",
"0.5.7",
"0.5.8"
]
}
],
"aliases": [
"CVE-2022-1930",
"GHSA-v65g-f3cj-fjp4"
],
"details": "An exponential ReDoS (Regular Expression Denial of Service) can be triggered in the eth-account PyPI package, when an attacker is able to supply arbitrary input to the encode_structured_data method",
"id": "PYSEC-2026-806",
"modified": "2026-07-07T11:30:33.553940Z",
"published": "2026-07-06T08:03:32.122936Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-1930"
},
{
"type": "WEB",
"url": "https://github.com/ethereum/eth-account/commit/70f89be700df0d5f08ef696252c88741f8414060"
},
{
"type": "PACKAGE",
"url": "https://github.com/ethereum/eth-account"
},
{
"type": "WEB",
"url": "https://research.jfrog.com/vulnerabilities/eth-account-redos-xray-248681"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/eth-account"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-v65g-f3cj-fjp4"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "Regular expression denial of service in eth-account"
}
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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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