CNVD-2026-31604
Vulnerability from cnvd - Published: 2026-08-05
VLAI
Title
Browse AI存在信息泄露漏洞
Description
Browse AI是领先的数据抓取工具,为全球超过77万用户提供可靠的数据,帮助他们几乎无需编码即可抓取、监控和整合几乎任何网站的数据。
Browse AI存在信息泄露漏洞,攻击者可利用漏洞获取敏感信息。
Severity
中
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://browse.ai/
Impacted products
| Name | Browse AI Browse AI 2.2.3 |
|---|
{
"description": "Browse AI\u662f\u9886\u5148\u7684\u6570\u636e\u6293\u53d6\u5de5\u5177\uff0c\u4e3a\u5168\u7403\u8d85\u8fc777\u4e07\u7528\u6237\u63d0\u4f9b\u53ef\u9760\u7684\u6570\u636e\uff0c\u5e2e\u52a9\u4ed6\u4eec\u51e0\u4e4e\u65e0\u9700\u7f16\u7801\u5373\u53ef\u6293\u53d6\u3001\u76d1\u63a7\u548c\u6574\u5408\u51e0\u4e4e\u4efb\u4f55\u7f51\u7ad9\u7684\u6570\u636e\u3002\n\nBrowse AI\u200c\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
"discovererName": "dailu",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\nhttps://browse.ai/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2026-31604",
"openTime": "2026-08-05",
"products": {
"product": "Browse AI\u200c Browse AI\u200c 2.2.3"
},
"serverity": "\u4e2d",
"submitTime": "2026-06-21",
"title": "Browse AI\u200c\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}
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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.
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.
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