GSD-2016-15005
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
CSRF tokens are generated using math/rand, which is not a cryptographically secure random number generator, allowing an attacker to predict values and bypass CSRF protections with relatively few requests.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-15005",
"id": "GSD-2016-15005"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2016-15005"
],
"details": "CSRF tokens are generated using math/rand, which is not a cryptographically secure random number generator, allowing an attacker to predict values and bypass CSRF protections with relatively few requests.",
"id": "GSD-2016-15005",
"modified": "2023-12-13T01:21:16.928758Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"CVE_data_meta": {
"ASSIGNER": "security@golang.org",
"ID": "CVE-2016-15005",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "github.com/dinever/golf",
"version": {
"version_data": [
{
"version_affected": "\u003c",
"version_name": "0",
"version_value": "0.3.0"
}
]
}
}
]
},
"vendor_name": "github.com/dinever/golf"
}
]
}
},
"credits": [
{
"lang": "en",
"value": "@elithrar"
}
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"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
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{
"lang": "eng",
"value": "CSRF tokens are generated using math/rand, which is not a cryptographically secure random number generator, allowing an attacker to predict values and bypass CSRF protections with relatively few requests."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE 338: Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/dinever/golf/pull/24",
"refsource": "MISC",
"url": "https://github.com/dinever/golf/pull/24"
},
{
"name": "https://github.com/dinever/golf/commit/3776f338be48b5bc5e8cf9faff7851fc52a3f1fe",
"refsource": "MISC",
"url": "https://github.com/dinever/golf/commit/3776f338be48b5bc5e8cf9faff7851fc52a3f1fe"
},
{
"name": "https://github.com/dinever/golf/issues/20",
"refsource": "MISC",
"url": "https://github.com/dinever/golf/issues/20"
},
{
"name": "https://pkg.go.dev/vuln/GO-2020-0045",
"refsource": "MISC",
"url": "https://pkg.go.dev/vuln/GO-2020-0045"
}
]
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003cv0.3.0",
"affected_versions": "All versions before 0.3.0",
"cwe_ids": [
"CWE-1035",
"CWE-352",
"CWE-937"
],
"date": "2022-12-30",
"description": "CSRF tokens are generated using math/rand, which is not a cryptographically secure rander number generation, making predicting their values relatively trivial and allowing an attacker to bypass CSRF protections which relatively few requests.",
"fixed_versions": [
"v0.3.0"
],
"identifier": "CVE-2016-15005",
"identifiers": [
"GHSA-q9qr-jwpw-3qvv",
"CVE-2016-15005"
],
"not_impacted": "All versions starting from 0.3.0",
"package_slug": "go/github.com/dinever/golf",
"pubdate": "2022-12-28",
"solution": "Upgrade to version 0.3.0 or above.",
"title": "Cross-Site Request Forgery (CSRF)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2016-15005",
"https://github.com/dinever/golf/issues/20",
"https://github.com/dinever/golf/pull/24",
"https://github.com/dinever/golf/commit/3776f338be48b5bc5e8cf9faff7851fc52a3f1fe",
"https://pkg.go.dev/vuln/GO-2020-0045",
"https://github.com/advisories/GHSA-q9qr-jwpw-3qvv"
],
"uuid": "3bf9242d-aebd-47ca-945d-1a2c18772da6",
"versions": [
{
"commit": {
"sha": "11abebbbb289ef6f35e518db394eaca39cee8732",
"tags": [
"v0.3.0"
],
"timestamp": "20170224165724"
},
"number": "v0.3.0"
}
]
}
]
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:golf_project:golf:*:*:*:*:*:go:*:*",
"cpe_name": [],
"versionEndExcluding": "0.3.0",
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
"CVE_data_meta": {
"ASSIGNER": "security@golang.org",
"ID": "CVE-2016-15005"
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "en",
"value": "CSRF tokens are generated using math/rand, which is not a cryptographically secure random number generator, allowing an attacker to predict values and bypass CSRF protections with relatively few requests."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "CWE-352"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://pkg.go.dev/vuln/GO-2020-0045",
"refsource": "MISC",
"tags": [
"Third Party Advisory"
],
"url": "https://pkg.go.dev/vuln/GO-2020-0045"
},
{
"name": "https://github.com/dinever/golf/commit/3776f338be48b5bc5e8cf9faff7851fc52a3f1fe",
"refsource": "MISC",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/dinever/golf/commit/3776f338be48b5bc5e8cf9faff7851fc52a3f1fe"
},
{
"name": "https://github.com/dinever/golf/pull/24",
"refsource": "MISC",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/dinever/golf/pull/24"
},
{
"name": "https://github.com/dinever/golf/issues/20",
"refsource": "MISC",
"tags": [
"Issue Tracking",
"Third Party Advisory"
],
"url": "https://github.com/dinever/golf/issues/20"
}
]
}
},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2023-02-28T18:15Z",
"publishedDate": "2022-12-27T22:15Z"
}
}
}
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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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