Vulnerability-Lookup

CNVD-2020-64751

Vulnerability from cnvd - Published: 2020-11-20

Title

Puncsky Touchbase.ai信息泄露漏洞

Description

Puncsky Touchbase.ai是Puncsky个人开发者的一个用于人际关系的web平台。 touchbase.ai 2.0之前版本存在安全漏洞，该漏洞源于未能从图像中剥离exif数据，从而泄露信息。任何能够访问其他用户上传的图片的人都可以获得它的地理位置、设备和软件版本数据等(如果存在的话)。

Severity

低

Patch Name

Puncsky Touchbase.ai信息泄露漏洞的补丁

Patch Description

Puncsky Touchbase.ai是Puncsky个人开发者的一个用于人际关系的web平台。 touchbase.ai 2.0之前版本存在安全漏洞，该漏洞源于未能从图像中剥离exif数据，从而泄露信息。任何能够访问其他用户上传的图片的人都可以获得它的地理位置、设备和软件版本数据等(如果存在的话)。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

目前厂商已发布升级补丁以修复漏洞，补丁获取链接：https://github.com/puncsky/touchbase.ai/pull/400/commits/69de77b163f6debaeb3f8d1a85367310a40d196f

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-26220

Impacted products

Name
Puncsky Touchbase.ai <2.0

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2020-26220",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-26220"
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  "description": "Puncsky Touchbase.ai\u662fPuncsky\u4e2a\u4eba\u5f00\u53d1\u8005\u7684\u4e00\u4e2a\u7528\u4e8e\u4eba\u9645\u5173\u7cfb\u7684web\u5e73\u53f0\u3002\n\ntouchbase.ai 2.0\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u80fd\u4ece\u56fe\u50cf\u4e2d\u5265\u79bbexif\u6570\u636e\uff0c\u4ece\u800c\u6cc4\u9732\u4fe1\u606f\u3002\u4efb\u4f55\u80fd\u591f\u8bbf\u95ee\u5176\u4ed6\u7528\u6237\u4e0a\u4f20\u7684\u56fe\u7247\u7684\u4eba\u90fd\u53ef\u4ee5\u83b7\u5f97\u5b83\u7684\u5730\u7406\u4f4d\u7f6e\u3001\u8bbe\u5907\u548c\u8f6f\u4ef6\u7248\u672c\u6570\u636e\u7b49(\u5982\u679c\u5b58\u5728\u7684\u8bdd)\u3002",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-64751",
  "openTime": "2020-11-20",
  "patchDescription": "Puncsky Touchbase.ai\u662fPuncsky\u4e2a\u4eba\u5f00\u53d1\u8005\u7684\u4e00\u4e2a\u7528\u4e8e\u4eba\u9645\u5173\u7cfb\u7684web\u5e73\u53f0\u3002\r\n\r\ntouchbase.ai 2.0\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u80fd\u4ece\u56fe\u50cf\u4e2d\u5265\u79bbexif\u6570\u636e\uff0c\u4ece\u800c\u6cc4\u9732\u4fe1\u606f\u3002\u4efb\u4f55\u80fd\u591f\u8bbf\u95ee\u5176\u4ed6\u7528\u6237\u4e0a\u4f20\u7684\u56fe\u7247\u7684\u4eba\u90fd\u53ef\u4ee5\u83b7\u5f97\u5b83\u7684\u5730\u7406\u4f4d\u7f6e\u3001\u8bbe\u5907\u548c\u8f6f\u4ef6\u7248\u672c\u6570\u636e\u7b49(\u5982\u679c\u5b58\u5728\u7684\u8bdd)\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",
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  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-26220",
  "serverity": "\u4f4e",
  "submitTime": "2020-11-17",
  "title": "Puncsky Touchbase.ai\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2020-26220 (GCVE-0-2020-26220)

Vulnerability from cvelistv5 – Published: 2020-11-11 22:15 – Updated: 2024-08-04 15:49

Title

Information exposure in touchbase.ai

Summary

toucbase.ai before version 2.0 leaks information by not stripping exif data from images. Anyone with access to the uploaded image of other users could obtain its geolocation, device, and software version data etc (if present. The issue is fixed in version 2.0.

Severity

3.5 (Low)


                        
                          CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:N/A:N

CWE

CWE-200 - {"CWE-200":"Exposure of Sensitive Information to an Unauthorized Actor"}

Assigner

GitHub_M mitre root

References

2 references

URL	Tags
https://github.com/puncsky/touchbase.ai/security/…	x_refsource_CONFIRM
https://github.com/puncsky/touchbase.ai/pull/400/…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
puncsky	touchbase.ai	Affected: < 2.0

Show details on NVD website

JSON

To clipboard

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        "providerMetadata": {
          "dateUpdated": "2024-08-04T15:49:07.176Z",
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            "url": "https://github.com/puncsky/touchbase.ai/security/advisories/GHSA-hh6j-j73p-cp3h"
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      "metrics": [
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            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 3.5,
            "baseSeverity": "LOW",
            "confidentialityImpact": "LOW",
            "integrityImpact": "NONE",
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            "scope": "UNCHANGED",
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        "discovery": "UNKNOWN"
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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.