Vulnerability-Lookup

CNVD-2020-03166

Vulnerability from cnvd - Published: 2020-01-22

Title

Pebble Templates安全绕过漏洞

Description

Pebble Templates是一款Java模板引擎。 Pebble Templates 3.1.2版本中存在安全漏洞。攻击者可借助公共静态java.lang.Class java.lang.Class.forName(java.lang.Module,java.lang.String)签名利用该漏洞绕过保护机制（阻止对java.lang.Class实例的访问）。

Severity

高

Formal description

目前厂商尚未提供相关漏洞补丁链接，请关注厂商主页随时更新： https://pebbletemplates.io/

Reference

https://github.com/PebbleTemplates/pebble/issues/493 https://nvd.nist.gov/vuln/detail/CVE-2019-19899

Impacted products

Name
pebbletemplates Pebble Templates 3.1.2

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-19899"
    }
  },
  "description": "Pebble Templates\u662f\u4e00\u6b3eJava\u6a21\u677f\u5f15\u64ce\u3002\n\nPebble Templates 3.1.2\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u516c\u5171\u9759\u6001java.lang.Class java.lang.Class.forName(java.lang.Module,java.lang.String)\u7b7e\u540d\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u4fdd\u62a4\u673a\u5236\uff08\u963b\u6b62\u5bf9java.lang.Class\u5b9e\u4f8b\u7684\u8bbf\u95ee\uff09\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u76f8\u5173\u6f0f\u6d1e\u8865\u4e01\u94fe\u63a5\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u968f\u65f6\u66f4\u65b0\uff1a\r\nhttps://pebbletemplates.io/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-03166",
  "openTime": "2020-01-22",
  "products": {
    "product": "pebbletemplates Pebble Templates 3.1.2"
  },
  "referenceLink": "https://github.com/PebbleTemplates/pebble/issues/493\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2019-19899",
  "serverity": "\u9ad8",
  "submitTime": "2019-12-19",
  "title": "Pebble Templates\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e"
}

CVE-2019-19899 (GCVE-0-2019-19899)

Vulnerability from cvelistv5 – Published: 2019-12-18 23:24 – Updated: 2024-08-05 02:32

Summary

Pebble Templates 3.1.2 allows attackers to bypass a protection mechanism (intended to block access to instances of java.lang.Class) because getClass is accessible via the public static java.lang.Class java.lang.Class.forName(java.lang.Module,java.lang.String) signature.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/PebbleTemplates/pebble/issues/493	x_refsource_MISC

Show details on NVD website

JSON

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              "x_transferred"
            ],
            "url": "https://github.com/PebbleTemplates/pebble/issues/493"
          }
        ],
        "title": "CVE Program Container"
      }
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  "cveMetadata": {
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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.

Detection rules are retrieved from Rulezet.

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.

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.