GSD-2022-43756
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') vulnerability in SUSE Rancher allows remote attackers to cause denial of service by supplying specially crafted git credentials. This issue affects: SUSE Rancher wrangler version 0.7.3 and prior versions; wrangler version 0.8.4 and prior versions; wrangler version 1.0.0 and prior versions.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-43756",
"id": "GSD-2022-43756",
"references": [
"https://www.suse.com/security/cve/CVE-2022-43756.html"
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},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"details": "A Improper Neutralization of Special Elements in Output Used by a Downstream Component (\u0027Injection\u0027) vulnerability in SUSE Rancher allows remote attackers to cause denial of service by supplying specially crafted git credentials. This issue affects: SUSE Rancher wrangler version 0.7.3 and prior versions; wrangler version 0.8.4 and prior versions; wrangler version 1.0.0 and prior versions.",
"id": "GSD-2022-43756",
"modified": "2023-12-13T01:19:31.505499Z",
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"TITLE": "Rancher/Wrangler: Denial of service when processing Git credentials"
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"baseScore": 5.9,
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"privilegesRequired": "LOW",
"scope": "UNCHANGED",
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"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c=v0.7.3 || \u003e=v0.8.0 \u003c=v0.8.4 || \u003e=v0.8.6 \u003cv0.8.11 || =v1.0.0",
"affected_versions": "All versions up to 0.7.3, all versions starting from 0.8.0 up to 0.8.4, all versions starting from 0.8.6 before 0.8.11, version 1.0.0",
"cwe_ids": [
"CWE-1035",
"CWE-937"
],
"date": "2023-01-25",
"description": "### Impact\n\nA denial of services (DoS) vulnerability was discovered in Wrangler Git package affecting versions up to and including `v1.0.0`.\n\nSpecially crafted Git credentials can result in a denial of service (DoS) attack on an application that uses Wrangler due to the exhaustion of the available memory and CPU resources. This is caused by a lack of input validation of Git credentials before they are used, which may lead to a denial of service in some cases. This issue can be triggered when accessing both private and public Git repositories. \n\n### Workarounds\n\nA workaround is to sanitize input passed to the Git package to remove potential unsafe and ambiguous characters. Otherwise, the best course of action is to update to a patched Wrangler version.\n\n### Patches\n\nPatched versions include `v1.0.1` and later and the backported tags - `v0.7.4-security1`, `v0.8.5-security1` and `v0.8.11`.\n\n### For more information\n\nIf you have any questions or comments about this advisory:\n\n* Reach out to [SUSE Rancher Security team](https://github.com/rancher/rancher/security/policy) for security related inquiries.\n* Open an issue in [Rancher](https://github.com/rancher/rancher/issues/new/choose) or [Wrangler](https://github.com/rancher/wrangler/issues/new) repository.\n* Verify our [support matrix](https://www.suse.com/suse-rancher/support-matrix/all-supported-versions/) and [product support lifecycle](https://www.suse.com/lifecycle/).",
"fixed_versions": [
"v0.7.4-security1",
"v0.8.5-security1",
"v0.8.11",
"v1.0.1"
],
"identifier": "GMS-2023-144",
"identifiers": [
"GHSA-8fcj-gf77-47mg",
"GMS-2023-144",
"CVE-2022-43756"
],
"not_impacted": "All versions after 0.7.3 before 0.8.0, all versions after 0.8.4 before 0.8.6, all versions starting from 0.8.11 before 1.0.0, all versions after 1.0.0",
"package_slug": "go/github.com/rancher/wrangler",
"pubdate": "2023-01-25",
"solution": "Upgrade to versions 0.7.4-security1, 0.8.5-security1, 0.8.11, 1.0.1 or above.",
"title": "Denial of service (DoS) when processing Git credentials",
"urls": [
"https://github.com/rancher/wrangler/security/advisories/GHSA-8fcj-gf77-47mg",
"https://github.com/advisories/GHSA-8fcj-gf77-47mg"
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"uuid": "8547bf51-b6d8-4ae4-a956-ff108d7f6e9a",
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"sha": "b1b1eff795f1507fd20fb73b205d47bc160dc9f2",
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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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