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Security audit

Smartlib Citation Checker

Security checks across malware telemetry and agentic risk

Overview

This citation-checking skill is mostly coherent, but it handles email, manuscript/reference content, quota-bearing API calls, and third-party links with under-scoped disclosure and controls.

Review this skill before installing if you work with confidential drafts. Expect your email, references, and possibly manuscript-derived citation text to be used with SmartLib/gateway services, and treat generated verification links or gateway notices as third-party content. Avoid using it for sensitive unpublished work unless that data sharing and quota model are acceptable.

SkillSpector

By NVIDIA
Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (51)

Intent-Code Divergence

Medium
Confidence
96% confidence
Finding
The skill claims uploaded content is only used for the current verification session and not stored, but elsewhere instructs the agent to persist the user's email into another skill's config.json for shared credentials. That creates a mismatch between privacy promises and actual data handling, which can mislead users about persistence and cross-skill sharing of personal data.

Intent-Code Divergence

Medium
Confidence
96% confidence
Finding
Entry #16 is presented in the table as a corrected citation even though the report itself says the database match may be a different article and requires manual verification. That contradiction can mislead users into accepting and propagating fabricated or incorrect bibliographic data, undermining trust in the report and potentially causing academic integrity issues.

Intent-Code Divergence

Medium
Confidence
96% confidence
Finding
The copyable/downloadable corrected references block includes #16 as finalized despite the earlier warning that it may be a different article. This increases the likelihood that users will copy and reuse a hallucinated or mismatched citation without seeing the cautionary context.

Intent-Code Divergence

Medium
Confidence
96% confidence
Finding
The GB/T 7714 export tab republishes #16 as if it were a validated correction while the report elsewhere says it may be a different article. Repeating the contradiction in an export-oriented section makes downstream misuse more likely because users treat export content as ready for submission.

Missing User Warnings

Medium
Confidence
94% confidence
Finding
The README states that the skill performs live verification through SmartLib, shares credentials with another skill, and may auto-register accounts, but it does not clearly disclose that submitted references or manuscript content will be sent to an external service. In a citation-checking context, users may paste unpublished papers, drafts, or sensitive research content, so lack of explicit data-transfer and consent notice creates a real privacy and data-handling risk.

Vague Triggers

Medium
Confidence
88% confidence
Finding
The trigger list includes broad phrases such as general citation checking or manuscript-review style requests, which can cause the skill to activate in situations where users did not clearly intend to send content to this external verification workflow. Over-broad activation increases the chance of accidental data disclosure and unexpected billing/quota consumption.

Missing User Warnings

Medium
Confidence
97% confidence
Finding
The skill description and workflow emphasize automation and verification features but do not clearly warn users that submitted references or manuscript excerpts are transmitted to external SmartLib services. Without an upfront disclosure, users may unknowingly send unpublished or sensitive academic content to a third party.

Ssd 3

Medium
Confidence
95% confidence
Finding
The skill instructs the agent to relay gateway-provided notifications and URLs verbatim, effectively treating external service output as trusted content. If the gateway is compromised, misconfigured, or abused for marketing/phishing, the agent could deliver unsafe links or manipulative text directly to users without scrutiny.

External Transmission

Medium
Category
Data Exfiltration
Content
<td class="col-original"><div class="orig-text">Afan, H. A., Wan Mohtar, W. H. M., Aksoy, M., Ahmed, A. N., Khaleel, F., Khan, M. M. H., &amp; El-Shafie, A. (2025). A multi-functional genetic algorithm-neural network model for predicting suspended sediment loads. Water Resources Management, 39(5), 2033–2048. https://doi.org/10.1007/s11269-024-04054-w</div></td>
                    <td class="col-corrected"><div class="corrected-text">Afan, H. A., Wan Mohtar, W. H. M., Aksoy, M., Ahmed, A. N., Khaleel, F., Khan, M. M. H., Kamel, A. H., Sherif, M., &amp; El-Shafie, A. (2025). A Multi-Functional Genetic Algorithm-Neural Network Model for Predicting Suspended Sediment Loads. Water Resources Management. https://doi.org/10.1007/s11269-024-04054-w <button class="dl-btn" onclick="downloadSingle('dl-1', 'Afan, H. A., Wan Mohtar, W. H. M., Aksoy, M., Ahmed, A. N., Khaleel, F., Khan, M. M. H., Kamel, A. H., Sherif, M., &amp; El-Shafie, A. (2025). A Multi-Functional Genetic Algorithm-Neural Network Model for Predicting Suspended Sediment Loads. Water Resources Management. https://doi.org/10.1007/s11269-024-04054-w')" title="下载此条">↓</button></div></td>
                    <td class="col-diff"><div class="diff-item" style="color:#16a34a">信息一致，无差异</div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=2031563775238" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">2</td>
Confidence
94% confidence
Finding
The page contains direct outbound links to a third-party SmartLib domain for per-reference verification. Opening these links discloses user IP, user-agent, referrer, and interest in specific document records to an external service, which is a real data-sharing/privacy risk in an agent skill context even though the transfer is user-triggered.

External Transmission

Medium
Category
Data Exfiltration
Content
<td class="col-original"><div class="orig-text">AlDahoul, N., Essam, Y., Kumar, P., Ahmed, A. N., Sherif, M., Sefelnasr, A., &amp; Elshafie, A. (2021). Suspended sediment load prediction using long short-term memory neural network. Scientific Reports, 11(1), 7826. https://doi.org/10.1038/s41598-021-87415-4</div></td>
                    <td class="col-corrected"><div class="corrected-text">AlDahoul, N., Essam, Y., Kumar, P., Ahmed, A. N., Sherif, M., Sefelnasr, A., &amp; Elshafie, A. (2021). Suspended sediment load prediction using long short-term memory neural network. Scientific Reports. https://doi.org/10.1038/s41598-021-87415-4 <button class="dl-btn" onclick="downloadSingle('dl-2', 'AlDahoul, N., Essam, Y., Kumar, P., Ahmed, A. N., Sherif, M., Sefelnasr, A., &amp; Elshafie, A. (2021). Suspended sediment load prediction using long short-term memory neural network. Scientific Reports. https://doi.org/10.1038/s41598-021-87415-4')" title="下载此条">↓</button></div></td>
                    <td class="col-diff"><div class="diff-item" style="color:#16a34a">信息一致，无差异</div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=2031026295258" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">3</td>
Confidence
94% confidence
Finding
This verification link sends users to an external SmartLib endpoint, exposing browsing metadata and potentially sensitive research context to a third party. In a citation-checking skill, those clicks may reveal what a user is reviewing or drafting, which can matter in academic or enterprise settings.

External Transmission

Medium
Category
Data Exfiltration
Content
<td class="col-original"><div class="orig-text">Allawi, M. F., Sulaiman, S. O., Sayl, K. N., Sherif, M., &amp; El-Shafie, A. (2023). Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study. Heliyon, 9(8), e18506.</div></td>
                    <td class="col-corrected"><div class="corrected-text">Mohammed Falah Allawi, Sadeq Oleiwi Sulaiman, Khamis Naba Sayl, Mohsen Sherif, &amp; Ahmed El-Shafie (2023). Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study. Heliyon. <button class="dl-btn" onclick="downloadSingle('dl-3', 'Mohammed Falah Allawi, Sadeq Oleiwi Sulaiman, Khamis Naba Sayl, Mohsen Sherif, &amp; Ahmed El-Shafie (2023). Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study. Heliyon.')" title="下载此条">↓</button></div></td>
                    <td class="col-diff"><div class="diff-item" style="color:#16a34a">信息一致，无差异</div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=2031227006292" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">4</td>
Confidence
94% confidence
Finding
The link initiates third-party navigation to SmartLib and therefore leaks standard browser metadata and research-interest context. Because this file is presented as a report artifact, users may not expect external disclosure from a simple 'verify' action.

External Transmission

Medium
Category
Data Exfiltration
Content
<td class="col-original"><div class="orig-text">Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5–32. https://doi.org/10.1023/A:1010933404324</div></td>
                    <td class="col-corrected"><div class="corrected-text">Breiman, L. (2001). Random forests. Machine Learning. https://doi.org/10.1023/A:1010933404324 <button class="dl-btn" onclick="downloadSingle('dl-4', 'Breiman, L. (2001). Random forests. Machine Learning. https://doi.org/10.1023/A:1010933404324')" title="下载此条">↓</button></div></td>
                    <td class="col-diff"><div class="diff-item" style="color:#16a34a">信息一致，无差异</div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=203413119817" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">5</td>
Confidence
94% confidence
Finding
This external verification URL causes data exposure to a third-party domain on click. While not automatic exfiltration, it is still a real outbound transmission channel and could reveal sensitive scholarly review activity.

External Transmission

Medium
Category
Data Exfiltration
Content
<td class="col-original"><div class="orig-text">Carter, J. H. (2000). The immune system as a model for pattern recognition and classification. Journal of the American Medical Informatics Association, 7(1), 28–41. https://doi.org/10.1136/jamia.2000.0070028</div></td>
                    <td class="col-corrected"><div class="corrected-text">Carter, J. (2000). The immune system as a model for pattern recognition and classification. Journal of the American Medical Informatics Association. https://doi.org/10.1136/jamia.2000.0070028 <button class="dl-btn" onclick="downloadSingle('dl-5', 'Carter, J. (2000). The immune system as a model for pattern recognition and classification. Journal of the American Medical Informatics Association. https://doi.org/10.1136/jamia.2000.0070028')" title="下载此条">↓</button></div></td>
                    <td class="col-diff"><div class="diff-item" style="color:#16a34a">信息一致，无差异</div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=203325412378" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">6</td>
Confidence
94% confidence
Finding
The document embeds an external SmartLib verification link that transmits user metadata and report context to another domain. In environments handling unpublished manuscripts or internal research, this can leak sensitive intent and topic information.

External Transmission

Medium
Category
Data Exfiltration
Content
<td class="col-original"><div class="orig-text">Chen, X. Y., &amp; Chau, K. W. (2016). A hybrid double feedforward neural network for suspended sediment load estimation. Water Resources Management, 30(7), 2179–2194. https://doi.org/10.1007/s11269-016-1281-2</div></td>
                    <td class="col-corrected"><div class="corrected-text">Chen, X. Y., &amp; Chau, K. W. (2016). A Hybrid Double Feedforward Neural Network for Suspended Sediment Load Estimation. Water Resources Management. https://doi.org/10.1007/s11269-016-1281-2 <button class="dl-btn" onclick="downloadSingle('dl-6', 'Chen, X. Y., &amp; Chau, K. W. (2016). A Hybrid Double Feedforward Neural Network for Suspended Sediment Load Estimation. Water Resources Management. https://doi.org/10.1007/s11269-016-1281-2')" title="下载此条">↓</button></div></td>
                    <td class="col-diff"><div class="diff-item" style="color:#16a34a">信息一致，无差异</div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=203293462085" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">7</td>
Confidence
94% confidence
Finding
Clicking this verify link opens a third-party site and exposes browser and contextual metadata externally. The risk is amplified by the academic-draft context, where citation sets can correlate with confidential work in progress.

External Transmission

Medium
Category
Data Exfiltration
Content
<td class="col-original"><div class="orig-text">Coello, C. A. C., &amp; Cortés, N. C. (2004). Hybridizing a genetic algorithm with an artificial immune system for global optimization. Engineering Optimization, 36(5), 607–634. https://doi.org/10.1080/03052150410001704845</div></td>
                    <td class="col-corrected"><div class="corrected-text">Coello, C., &amp; Cortés, N. (2004). Hybridizing a genetic algorithm with an artificial immune system for global optimization. Engineering Optimization. https://doi.org/10.1080/03052150410001704845 <button class="dl-btn" onclick="downloadSingle('dl-7', 'Coello, C., &amp; Cortés, N. (2004). Hybridizing a genetic algorithm with an artificial immune system for global optimization. Engineering Optimization. https://doi.org/10.1080/03052150410001704845')" title="下载此条">↓</button></div></td>
                    <td class="col-diff"><div class="diff-item" style="color:#16a34a">信息一致，无差异</div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=203176702558" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">8</td>
Confidence
94% confidence
Finding
The SmartLib URL is a genuine outbound transmission point to a non-local domain. Even though only metadata is exposed and the action is user-driven, this still constitutes a privacy/security concern for sensitive research workflows.

External Transmission

Medium
Category
Data Exfiltration
Content
<span class="arrow">→</span>
                <span class="add-text">ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020</span>
            </div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=20664705682" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">9</td>
Confidence
93% confidence
Finding
This external verification anchor leaks access metadata to SmartLib when followed. The page repeatedly normalizes such outbound navigation without friction, which increases the chance users disclose research behavior unintentionally.

External Transmission

Medium
Category
Data Exfiltration
Content
<span class="arrow">→</span>
                <span class="add-text">Journal of Hydrology</span>
            </div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=2031268865578" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">10</td>
Confidence
93% confidence
Finding
The verify action navigates to a third-party SmartLib record, exposing metadata and potentially sensitive topic associations. In a citation verification report, such associations may reveal what manuscript or domain is under review.

External Transmission

Medium
Category
Data Exfiltration
Content
<td class="col-original"><div class="orig-text">Dorrell, R., Amy, L., Peakall, J., &amp; McCaffrey, W. (2018). Particle size distribution controls the threshold between net sediment erosion and deposition in suspended load dominated flows. Geophysical Research Letters, 45(3), 1443–1452. https://doi.org/10.1002/2017GL076489</div></td>
                    <td class="col-corrected"><div class="corrected-text">Dorrell, R. M., Amy, L. A., Peakall, J., &amp; McCaffrey, W. D. (2018). Particle Size Distribution Controls the Threshold Between Net Sediment Erosion and Deposition in Suspended Load Dominated Flows. Geophysical Research Letters. https://doi.org/10.1002/2017GL076489 <button class="dl-btn" onclick="downloadSingle('dl-10', 'Dorrell, R. M., Amy, L. A., Peakall, J., &amp; McCaffrey, W. D. (2018). Particle Size Distribution Controls the Threshold Between Net Sediment Erosion and Deposition in Suspended Load Dominated Flows. Geophysical Research Letters. https://doi.org/10.1002/2017GL076489')" title="下载此条">↓</button></div></td>
                    <td class="col-diff"><div class="diff-item" style="color:#16a34a">信息一致，无差异</div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=203283666106" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">11</td>
Confidence
94% confidence
Finding
This is a real outbound link to a third-party verification system and therefore a legitimate external transmission finding. It is not code execution, but it can still leak usage patterns and document-interest metadata that users may regard as confidential.

External Transmission

Medium
Category
Data Exfiltration
Content
<td class="col-original"><div class="orig-text">Gelete, G., Nourani, V., Gökçekuş, H., &amp; Gichamo, T. (2024). Multi-step ahead suspended sediment load modeling using machine learning– multi-model approach. Earth Science Informatics, 17(1), 633–654. https://doi.org/10.1007/s12145-023-01192-4</div></td>
                    <td class="col-corrected"><div class="corrected-text">Gelete, G., Nourani, V., Gokcekus, H., &amp; Gichamo, T. (2024). Multi-step ahead suspended sediment load modeling using machine learning- multi-model approach. Earth Science Informatics. https://doi.org/10.1007/s12145-023-01192-4 <button class="dl-btn" onclick="downloadSingle('dl-11', 'Gelete, G., Nourani, V., Gokcekus, H., &amp; Gichamo, T. (2024). Multi-step ahead suspended sediment load modeling using machine learning- multi-model approach. Earth Science Informatics. https://doi.org/10.1007/s12145-023-01192-4')" title="下载此条">↓</button></div></td>
                    <td class="col-diff"><div class="diff-item" style="color:#16a34a">信息一致，无差异</div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=2031252511952" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">12</td>
Confidence
94% confidence
Finding
The external verification URL sends users off-platform to SmartLib, creating a privacy exposure through standard browser metadata and contextual link targets. The page gives no visible privacy warning near these links.

External Transmission

Medium
Category
Data Exfiltration
Content
<span class="arrow">→</span>
                <span class="add-text">Physics and Chemistry of the Earth, Parts A/B/C</span>
            </div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=2031600744514" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">15</td>
Confidence
93% confidence
Finding
This SmartLib verification link is another user-triggered outbound transmission path. In aggregate, the many such links materially increase the chance of privacy leakage from manuscript-review activity.

External Transmission

Medium
Category
Data Exfiltration
Content
<span class="arrow">→</span>
                <span class="add-text">A comparison of various machine learning approaches performance for prediction suspended sediment load of river systems: a case study in Malaysia</span>
            </div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=2031051250583" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">16</td>
Confidence
93% confidence
Finding
Following this link reveals browser metadata and interest in a specific citation record to a third party. Since the report appears local and self-contained, the hidden privacy boundary crossing is security-relevant.

External Transmission

Medium
Category
Data Exfiltration
Content
<span class="arrow">→</span>
                <span class="add-text">Expert Systems with Applications</span>
            </div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=2031224301468" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">17</td>
Confidence
93% confidence
Finding
The page exposes a third-party verification destination that can leak research behavior on click. This is a modest but real vulnerability because the skill context involves potentially sensitive bibliographic review.

External Transmission

Medium
Category
Data Exfiltration
Content
<td class="col-original"><div class="orig-text">Hazarika, B. B., Gupta, D., &amp; Berlin, M. (2020). Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet conjunction. Environmental Earth Sciences, 79(10), 234. https://doi.org/10.1007/s12665-020-08949-w</div></td>
                    <td class="col-corrected"><div class="corrected-text">Hazarika, B. B., Gupta, D., &amp; Berlin, M. (2020). Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet conjunction. Environmental Earth Sciences. https://doi.org/10.1007/s12665-020-08949-w <button class="dl-btn" onclick="downloadSingle('dl-17', 'Hazarika, B. B., Gupta, D., &amp; Berlin, M. (2020). Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet conjunction. Environmental Earth Sciences. https://doi.org/10.1007/s12665-020-08949-w')" title="下载此条">↓</button></div></td>
                    <td class="col-diff"><div class="diff-item" style="color:#16a34a">信息一致，无差异</div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=203972947652" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">18</td>
Confidence
94% confidence
Finding
This anchor opens SmartLib in a new tab and shares metadata with that service. The repeated pattern across the report makes the privacy issue systemic rather than isolated.

External Transmission

Medium
Category
Data Exfiltration
Content
<td class="col-original"><div class="orig-text">Hochreiter, S., &amp; Schmidhuber, J. (1997). Long short-term memory. Neural Computation, 9(8), 1735–1780. https://doi.org/10.1162/neco.1997.9.8.1735</div></td>
                    <td class="col-corrected"><div class="corrected-text">Hochreiter, S., &amp; Schmidhuber, J. (1997). Long short-term memory. Neural Computation. https://doi.org/10.1162/neco.1997.9.8.1735 <button class="dl-btn" onclick="downloadSingle('dl-19', 'Hochreiter, S., &amp; Schmidhuber, J. (1997). Long short-term memory. Neural Computation. https://doi.org/10.1162/neco.1997.9.8.1735')" title="下载此条">↓</button></div></td>
                    <td class="col-diff"><div class="diff-item" style="color:#16a34a">信息一致，无差异</div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=203583158490" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">20</td>
Confidence
94% confidence
Finding
This verify link is a genuine outbound transmission mechanism to a third-party literature platform. In a drafting or review workflow, outbound clicks may expose unpublished research direction or institutional interests.

External Transmission

Medium
Category
Data Exfiltration
Content
<span class="arrow">→</span>
                <span class="add-text">Journal of Geochemical Exploration</span>
            </div></td>
                    <td class="col-verify"><a href="https://data.smart.vipslib.com/articlesearch/web_searchingDetail?id=2031556026530" target="_blank" class="verify-link" title="在 SmartLib 中查看此文献详情">验证</a></td>
                </tr>
            <tr>
                    <td class="col-num">22</td>
Confidence
93% confidence
Finding
The SmartLib link leaks user metadata and citation-interest context when used. Although the exposure is limited, the academic-report context makes it more sensitive than a generic public webpage.

VirusTotal

VirusTotal findings are pending for this skill version.

View on VirusTotal

Static analysis

No suspicious patterns detected.