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Title
Trend Micro Mobile Security SQL注入漏洞
Description
Trend Micro Mobile Security(Enterprise)是美国趋势科技（Trend Micro）公司的一套汇集了手机安全扫描、恶意程序实时防护和恶意行为监控于一体的手机安全软件。
Trend Micro Mobile Security(Enterprise) 9.7 Patch 3之前的版本中存在SQL注入漏洞。远程攻击者可利用该漏洞执行任意代码。
Severity
高
Patch Name
Trend Micro Mobile Security SQL注入漏洞的补丁
Patch Description
Trend Micro Mobile Security(Enterprise)是美国趋势科技（Trend Micro）公司的一套汇集了手机安全扫描、恶意程序实时防护和恶意行为监控于一体的手机安全软件。
Trend Micro Mobile Security(Enterprise) 9.7 Patch 3之前的版本中存在SQL注入漏洞。远程攻击者可利用该漏洞执行任意代码。 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
目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://success.trendmicro.com/solution/1118224
Reference
https://nvd.nist.gov/vuln/detail/CVE-2017-14078
Impacted products
| Name | Trend Micro Mobile Security (Enterprise) <9.7 Patch 3 |
|---|
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CVE-2017-14078 (GCVE-0-2017-14078)
Vulnerability from cvelistv5 – Published: 2017-09-22 16:00 – Updated: 2024-09-17 03:52
VLAI
EPSS
VEX
Summary
SQL Injection vulnerabilities in Trend Micro Mobile Security (Enterprise) versions before 9.7 Patch 3 allow remote attackers to execute arbitrary code on vulnerable installations.
Severity
No CVSS data available.
CWE
- SQL Injection
Assigner
References
67 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Trend Micro | Mobile Security (Enterprise) |
Affected:
< 9.7 Patch 3
|
Date Public
2017-09-15 00:00
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"dateUpdated": "2024-09-17T03:52:36.969Z",
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}
Loading…
Trend slope:
-
(linear fit over daily sighting counts)
Show additional events:
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
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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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