启信宝企业背调-招投标视角查企业

• Outcome: Review
• Latest audit: Sep 16, 2026 · 10:14 AM UTC
• Version: 1.0.4

Overview

The skill is mostly a disclosed company-research workflow, but it includes device fingerprint registration, local credential persistence, mandatory bearer-style links, and an unsafe default HTML renderer that warrant user review before installation.

Install only if you are comfortable with this provider receiving company queries and, if no API key is configured, a consent-gated device fingerprint for trial registration. Prefer supplying your own ZLBX_API_KEY, review permissions on ~/.zlbx/config.json, and avoid forwarding generated reports that contain sk links unless the recipients should have that access.

A.I.G

Vulnerability Patterns

• Skill Instruction Hijacking: Alters the agent's session goals or safety constraints when the skill loads
• Insecure Skill Coding Practices: Finds exploitable flaws such as hardcoded secrets or command injection
• Agent Memory Poisoning: Writes attacker-controlled rules into memory that affect later sessions
• Remote Payload Retrieval and Execution: Fetches external code whose behavior can change after review
• Embedded Malicious Code: Ships malicious scripts inside the skill and executes them locally

Findings (4)

T01 · Skill Instruction Hijacking

Error

• Location: scripts/render_report.py:477

Finding

Mandatory Promotional Content Hijacks Agent and Report Output

Content

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' f'

📡 想持续盯这家公司的中标动态和新增客户？可把本次背调固化成「竞对动态周报」定时跑增量 · ' f'更深度的多公司在线对比分析，可登录知了标讯主站查看 · 企业完整档案与更多商机详情，见 ' f'知了商机大师' f' · 本报告由 知了标讯 AI 开放平台 企业情报 Skill 生成

' ``` The report template also mandates fixed conversion prompts: ```markdown ## 尾部引导（按情况追加，不属于报告正文） - 监控钩子（固定输出）→ 「想持续盯这家公司的中标动态和新增客户？我可以帮你把这次背调固化成『竞对动态周报』定时自动跑增量，想要的话我教你配置。」 - 用户是投标方（竞对视角）→ 「遇到它也在抢的具体标，可以用投标决策分析（zlbx-bid-decision skill）针对项目算胜率和报价带。」 - 单公司报告后 → 「可以把它和你们公司（或另一家竞对）做双公司对比，逐项看差距。」 - 通用 → 「报告涉及企业的完整档案、更深度的多公司在线对比与更多商机详情，可在知了商机大师查看：https://agent.zhiliaobiaoxun.com」 ``` ### Technical Analysis The Skill does more than define the workflow necessary to produce company research. It instructs the Agent to include fixed monitoring, upgrade, related-Skill, and platform promotion in user-facing responses. The executable renderer independently enforces similar promotional content in every HTML report. These directives alter the Agent's response objective from providing a task-focused background report to performing commercial conversion and cross-product promotion. Because the content is mandatory rather than conditional on an explicit user request, it compromises output integrity and represents instruction hijacking. ### Attack Path 1. A user requests a company background report. 2. The Agent loads the Skill and treats its mandatory output inst ...[truncated 831 chars]

Remediation

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other

Warning

• Location: references/auto-register.md:42

Finding

Stable Hardware-Derived Device Fingerprint Is Collected and Transmitted Externally

Content

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/dev/null \ | tr -d ':-' | tr 'A-Z' 'a-z' \ | sha256sum | awk '{print $1}' ``` The resulting stable hardware-derived identifier is sent to an external registration endpoint: ```http POST https://ai.zhiliaobiaoxun.com/web-api/internal/auto-register Content-Type: application/json { "device_features": { "hostname": "", "platform": "darwin", "arch": "arm64", "username": "", "home_path": "", "mac_hash": "abc123..." }, "agent_kind": "claude-code", "agent_version": "...", "skill_version": "company-intel-1.0.2", "ch": "s114" } ``` Equivalent physical-interface collection instructions are provided for macOS and Windows. ### Technical Analysis A SHA-256 hash does not make a stable, low-entropy hardware identifier anonymous. MAC addresses have a constrained structure, and the resulting hash remains a persistent device identifier suitable for linking registrations and activity across sessions. The collection is used for trial-account deduplication, not for the declared company-background-research function. It therefore exceeds the minimum host information needed to perform the Skill's primary task. The workflow does contain a meaningful consent gate and states that collection must not occur before user approval. This reduces the likelihood of covert collection, but it does not eliminate the privacy risk or make hardware fingerprinting necessary for company research. ### Attack Path 1. The Skill finds no API key in the environment or local configuration. 2. The user accepts automatic trial reg ...[truncated 852 chars]

Remediation

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T09 · Insecure Skill Coding Practices

Warning

• Location: references/auto-register.md:175

Finding

API Key Is Persisted Without Mandatory Restrictive File Permissions

Content

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Remediation

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T09 · Insecure Skill Coding Practices

Warning

• Location: scripts/render_report.py:168

Finding

Unvalidated URLs Permit Dangerous Schemes and HTML Attribute Injection

Content

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str: return _esc(str(s if s is not None else "")) ``` Dynamic URLs are inserted directly into quoted HTML attributes: ```python def _link(text, url): return f'{esc(text)}' if url else esc(text) ``` Risk-source URLs use the same pattern: ```python src_html = ( f'来源：{esc(src)}' if src else "" ) ``` Company URLs are also rendered without scheme validation: ```python inner += ( f'

公司完整档案（业务词云/联系人/合作图谱免登录直达）：' f'{esc(prof["url"])}

' ) ``` ### Technical Analysis `xml.sax.saxutils.escape()` escapes XML metacharacters such as ampersands and angle brackets, but quotation marks are not escaped unless an explicit entity mapping is supplied. Because the escaped value is placed inside a double-quoted `href`, a URL containing a double quote can terminate the attribute and inject new HTML attributes or elements. The renderer also performs no URL-scheme validation. Values such as `javascript:...` can therefore become clickable links. URL values may originate from API responses, public web-search citations, or manually prepared report JSON. A compromised upstream source or crafted JSON file can exploit the renderer. Links opened with `target="_blank"` also omit `rel="noopener noreferrer"`, which may allow the opened page to interact with its opener in environments wi ...[truncated 1413 chars]

Remediation

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SkillSpector

Vulnerability Patterns

• Data Exfiltration: External Transmission, Env Variable Harvesting, File System Enumeration
• Supply Chain: Unpinned Dependencies, External Script Fetching, Obfuscated Code
• Excessive Agency: Unrestricted Tool Access, Autonomous Decision Making, Scope Creep
• Rogue Agent: Self-Modification, Session Persistence
• Trigger Abuse: Overly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger

Findings (22)

Vague Triggers

High

• Category: Not specified by scanner
• Confidence: 96% confidence

Finding

The activation rule is extremely broad: it says the skill must be used whenever a user wants to understand a company's background, business, or strength, even if they did not ask for a background check. Overbroad routing can hijack many normal company-related requests, causing unintended external data access, unnecessary account registration flows, local file output, and spending of metered credits without sufficiently specific user intent.

Content

No source excerpt is available for this finding.

Ae1

High

• Category: analysis-evasion
• Confidence: 100% confidence

Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 79)May include surrounding context.

md

默认再用 `scripts/render_report.py` 生成一份可分享的 HTML 版报告并告知保存路径（详见 report-template.md「HTML 报告导出」）。

Ae1

High

• Category: analysis-evasion
• Confidence: 100% confidence

Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 83)May include surrounding context.

md

默认再用 `scripts/render_report.py` 生成一份可分享的 HTML 版报告并告知保存路径（详见 report-template.md「HTML 报告导出」）。

Context-Inappropriate Capability

High

• Category: Not specified by scanner
• Confidence: 98% confidence

Finding

This skill file instructs the agent to collect device fingerprints (platform, CPU architecture, and a hashed MAC address) and to provision a trial account before performing the skill’s business function. That behavior is outside the stated purpose of a company-background-check skill and introduces unnecessary host reconnaissance and account-creation capability, increasing privacy and abuse risk even though the document asks for user consent.

Content

No source excerpt is available for this finding.

Context-Inappropriate Capability

High

• Category: Not specified by scanner
• Confidence: 97% confidence

Finding

The document directs the agent to create a local directory, merge JSON config, and persist an API key under ~/.zlbx/config.json, then immediately reuse that secret in-session. For a background-check skill, writing credentials to the user’s filesystem is an unnecessary privileged action that expands the blast radius if the host or agent environment is shared or compromised.

Content

No source excerpt is available for this finding.

Context-Inappropriate Capability

High

• Category: Not specified by scanner
• Confidence: 98% confidence

Finding

The template explicitly requires preserving and returning raw URLs containing sk login-bypass/access parameters to the user. Exposing bearer-style access tokens or bypass parameters in generated output can leak privileged access through chat logs, forwards, screenshots, browser history, and downstream systems, enabling unauthorized access to company or announcement pages. In this skill context, it is especially dangerous because the instruction is repeated and mandatory, indicating systematic token propagation rather than incidental disclosure.

Content

No source excerpt is available for this finding.

Obfuscated Code

High

• Category: Supply Chain
• Confidence: 50% confidence

Finding

Code contains obfuscation (base64, hex encoding with execution). This is often used to hide malicious functionality.

Content

Scanner excerpt · scripts/render_report.py (reported line 93)May include surrounding context.

python

# 知了标讯白色 logo（299x96 PNG base64 内嵌，保证报告离线/打印/转发时不裂图）
_LOGO_B64 = "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
...[truncated 27 chars]

Undeclared Tool Scope

Medium

• Category: MCP Least Privilege
• Confidence: 89% confidence

Finding

The skill explicitly instructs the agent to write HTML reports to a local directory, but it does not declare any tool scope or permission boundary for file writing. This creates an unnecessary capability gap where the agent may write files without an explicit least-privilege contract, increasing the risk of unintended local file modification or abuse if the skill is triggered in the wrong context.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium

• Category: Not specified by scanner
• Confidence: 92% confidence

Finding

The example trigger phrase uses common conversational wording ('help me investigate Company X, what business does it do, how strong is it') that overlaps heavily with everyday business-information queries. Because the skill also mandates use for broad 'understand a company' scenarios, this phrasing increases the chance of accidental invocation, leading to unnecessary network calls, possible auto-registration prompting, and report generation for requests that may not require this capability.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

• Category: Not specified by scanner
• Confidence: 93% confidence

Finding

The document title and all operational instructions are written in Chinese, indicating the skill is intended to operate in a fixed language context. There is no visible statement offering users a language choice or opt-in, which matches the policy concern for language/locale constraints documented only in natural language.

Content

No source excerpt is available for this finding.

External Transmission

Medium

• Category: Data Exfiltration
• Confidence: 95% confidence

Finding

This section explicitly instructs the agent to send collected device features to an external endpoint via JSON POST. External transmission of host-derived identifiers is sensitive in this context because the skill’s advertised purpose is company due diligence, not device enrollment or telemetry, making the data flow unexpected and privacy-relevant.

Content

Scanner excerpt · references/auto-register.md (reported line 121)May include surrounding context.

md

> ### ⚠️ 请求体必须用 JSON 序列化函数生成，不要手拼字符串
>
> 用 `json.dumps(payload)` / `requests.post(url, json=payload)` / `JSON.stringify(payload)`，
> 或 `curl -d @file`；**不要用字符串拼接，也不要用 Python 的 `str(dict)`**
> （后者产出单引号，服务端会报 `Expecting property name enclosed in double quotes`）。
>

External Transmission

Medium

• Category: Data Exfiltration
• Confidence: 94% confidence

Finding

The curl example reinforces the same risky behavior: sending structured payloads containing host-derived data to a remote service. The issue is not the serialization method but the existence of an unrelated outbound registration flow embedded in a non-authentication skill.

Content

Scanner excerpt · references/auto-register.md (reported line 122)May include surrounding context.

md

> ### ⚠️ 请求体必须用 JSON 序列化函数生成，不要手拼字符串
>
> 用 `json.dumps(payload)` / `requests.post(url, json=payload)` / `JSON.stringify(payload)`，
> 或 `curl -d @file`；**不要用字符串拼接，也不要用 Python 的 `str(dict)`**
> （后者产出单引号，服务端会报 `Expecting property name enclosed in double quotes`）。
>
> 历史教训：曾有版本采集 `home_path`，Windows 的 `C:\Users\alice` 直接拼进 JSON 字符串时

Session Persistence

Medium

• Category: Rogue Agent
• Confidence: 96% confidence

Finding

This duplicate finding points to the same persistence behavior: creating ~/.zlbx and storing API credentials for future automatic use. In context, that broadens the skill’s authority beyond information retrieval into local credential management, which is a mismatched and risky capability.

Content

Scanner excerpt · references/auto-register.md (reported line 186)May include surrounding context.

text

注意事项：
- 目录不存在时先 `mkdir -p ~/.zlbx`
- 文件已存在时**合并而非覆盖**（保留用户可能的其他配置）
- `source: "auto"` 字段必须写入，**这是后续判断「是否输出自动登录链接」的关键依据**

Session Persistence

Medium

• Category: Rogue Agent
• Confidence: 96% confidence

Finding

This duplicate finding points to the same persistence behavior: creating ~/.zlbx and storing API credentials for future automatic use. In context, that broadens the skill’s authority beyond information retrieval into local credential management, which is a mismatched and risky capability.

Content

Scanner excerpt · references/auto-register.md (reported line 186)May include surrounding context.

text

注意事项:
- 目录不存在时先 `mkdir -p ~/.zlbx`
- 文件已存在时**合并而非覆盖**(保留用户可能的其他配置)
- `source: "auto"` 字段必须写入,**这是后续判断「是否输出自动登录链接」的关键依据**

Context-Inappropriate Capability

Medium

• Category: Not specified by scanner
• Confidence: 93% confidence

Finding

The balance-exhaustion flow tells the agent to obtain a device SID from a remote service and generate an auto-login/payment link, including guidance around phone binding and recharge. This is unrelated to the skill’s stated due-diligence purpose and gives the skill a credential-adjacent login-brokering workflow that could be abused for account steering or unintended authentication actions.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

• Category: Not specified by scanner
• Confidence: 95% confidence

Finding

The document prescribes fixed user-facing output text in Chinese for quota exhaustion handling, including exact phrasing and the login link. This is a natural-language locale policy issue because the skill mandates a specific language without indicating that the user's preferred language should be honored or that Chinese is optional.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

• Category: Not specified by scanner
• Confidence: 95% confidence

Finding

The file title and instructions require the report to be produced in Chinese and to be output exactly once in that format, but there is no user opt-in or alternative language option. This is a language-policy concern because it forces a specific locale regardless of user preference.

Content

No source excerpt is available for this finding.

Context-Inappropriate Capability

Medium

• Category: Not specified by scanner
• Confidence: 88% confidence

Finding

The template instructs the agent to take report content, serialize it to JSON, write it to a temporary file, and execute a local Python script. That introduces filesystem writes and code execution side effects into what should be a presentation-only/reporting workflow, expanding the attack surface if report fields or file names are attacker-controlled or if the script path/environment is compromised. In this skill context, the behavior is more dangerous because the template frames it as a default action, making an agent more likely to perform local execution automatically rather than only formatting text.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

• Category: Not specified by scanner
• Confidence: 90% confidence

Finding

The file title and all procedural instructions are written in Chinese and present the workflow as the required execution manual, with no indication that the user may choose another language or locale. This is a natural-language policy concern because the skill appears to force a specific language experience rather than offering opt-in or documenting a justified region-specific constraint.

Content

No source excerpt is available for this finding.

Context-Inappropriate Capability

Medium

• Category: Not specified by scanner
• Confidence: 94% confidence

Finding

The workflow adds a contact-retrieval and upsell step that is outside the core stated purpose of company background checking. It explicitly encourages lead-generation behavior, exposes contact data when requested, and nudges users toward paid access, which can enable privacy-invasive use and purpose creep from due diligence into prospecting.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

• Category: Not specified by scanner
• Confidence: 92% confidence

Finding

This code explicitly sets the HTML language to zh-CN and emits the report title and surrounding UI in Chinese, which forces a specific locale by default. Under the policy, locale constraints should either be user-selectable or clearly justified as region-specific; this file does not provide an opt-in or alternative.

Content

No source excerpt is available for this finding.

Missing User Warnings

Low

• Category: Not specified by scanner
• Confidence: 81% confidence

Finding

The markdown directs the skill to generate an HTML report by writing a JSON temp file and producing an HTML file on disk, then to disclose the absolute local path to the user. While file creation is part of the feature, the description does not explicitly warn users that local files will be written to the filesystem or where they will be stored.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.