Vulnerability-Lookup

CNVD-2017-14893

Vulnerability from cnvd - Published: 2017-07-17

Title

Python Tablib任意命令执行漏洞

Description

Tablib是一个与表格格式数据有关的Python库，允许导入、导出、管理表格格式数据。 Python Tablib 0.11.4版本存在任意命令执行漏洞，允许攻击者利用该漏洞在受影响程序上下文中执行任意脚本代码。

Severity

高

Patch Name

Python Tablib任意命令执行漏洞的补丁

Patch Description

Tablib是一个与表格格式数据有关的Python库，允许导入、导出、管理表格格式数据。 Python Tablib 0.11.4版本存在任意命令执行漏洞，允许攻击者利用该漏洞在受影响程序上下文中执行任意脚本代码。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

目前厂商已经发布了升级补丁以修复此安全问题，详情请关注厂商主页： https://pypi.python.org/pypi/tablib

Reference

http://www.securityfocus.com/bid/99076

Impacted products

Name
Python Tablib 0.11.4

Show details on source website

JSON

To clipboard

{
  "bids": {
    "bid": {
      "bidNumber": "99076"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-2810"
    }
  },
  "description": "Tablib\u662f\u4e00\u4e2a\u4e0e\u8868\u683c\u683c\u5f0f\u6570\u636e\u6709\u5173\u7684Python\u5e93\uff0c\u5141\u8bb8\u5bfc\u5165\u3001\u5bfc\u51fa\u3001\u7ba1\u7406\u8868\u683c\u683c\u5f0f\u6570\u636e\u3002\r\n\r\nPython Tablib 0.11.4\u7248\u672c\u5b58\u5728\u4efb\u610f\u547d\u4ee4\u6267\u884c\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u53d7\u5f71\u54cd\u7a0b\u5e8f\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u811a\u672c\u4ee3\u7801\u3002",
  "discovererName": "Cory Duplantis of Cisco Talos.",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a \r\nhttps://pypi.python.org/pypi/tablib",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-14893",
  "openTime": "2017-07-17",
  "patchDescription": "Tablib\u662f\u4e00\u4e2a\u4e0e\u8868\u683c\u683c\u5f0f\u6570\u636e\u6709\u5173\u7684Python\u5e93\uff0c\u5141\u8bb8\u5bfc\u5165\u3001\u5bfc\u51fa\u3001\u7ba1\u7406\u8868\u683c\u683c\u5f0f\u6570\u636e\u3002\r\n\r\nPython Tablib 0.11.4\u7248\u672c\u5b58\u5728\u4efb\u610f\u547d\u4ee4\u6267\u884c\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u53d7\u5f71\u54cd\u7a0b\u5e8f\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u811a\u672c\u4ee3\u7801\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Python Tablib\u4efb\u610f\u547d\u4ee4\u6267\u884c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Python Tablib 0.11.4"
  },
  "referenceLink": "http://www.securityfocus.com/bid/99076",
  "serverity": "\u9ad8",
  "submitTime": "2017-06-21",
  "title": "Python Tablib\u4efb\u610f\u547d\u4ee4\u6267\u884c\u6f0f\u6d1e"
}

CVE-2017-2810 (GCVE-0-2017-2810)

Vulnerability from cvelistv5 – Published: 2017-06-14 13:00 – Updated: 2024-08-05 14:02

Summary

An exploitable vulnerability exists in the Databook loading functionality of Tablib 0.11.4. A yaml loaded Databook can execute arbitrary python commands resulting in command execution. An attacker can insert python into loaded yaml to trigger this vulnerability.

Severity

7.5 (High)


                        
                          CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H

CWE

remote code execution

Assigner

talos CNA under the mitre root

CNA scorecard C 60/100 over 46 records in the last 180 days details

References

3 references

URL	Tags
http://www.securityfocus.com/bid/99076	vdb-entryx_refsource_BID
https://security.gentoo.org/glsa/201811-18	vendor-advisoryx_refsource_GENTOO
https://talosintelligence.com/vulnerability_repor…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Kenneth Reitz	Tablib	Affected: 0.11.4

Date Public

2017-06-13 00:00

Show details on NVD website

JSON

To clipboard

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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

Order JSON

How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Publication & reservation Sightings KEV catalogs Other timestamps

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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.

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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