Weaver Network E-cology 8.0 SignatureDownLoad servlet markId sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.3$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in Weaver Network E-cology 8.0. This vulnerability affects unknown code of the component SignatureDownLoad servlet. Performing a manipulation of the argument markId results in sql injection. This vulnerability is reported as CVE-2016-20097. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in Weaver Network E-cology 8.0. It has been classified as critical. This affects an unknown functionality of the component SignatureDownLoad servlet. The manipulation of the argument markId with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Weaver (Fanwei) E-cology 8.0 contains a SQL injection vulnerability in the SignatureDownLoad servlet that allows unauthenticated remote attackers to read arbitrary files by injecting a UNION SELECT payload into the markId GET parameter, which is concatenated unsanitized into a SQL query. Attackers can control the markPath value returned by the query to supply an attacker-controlled filesystem path, causing the servlet to read and stream back arbitrary files accessible to the application server process, including sensitive configuration files containing database credentials. Disclosure materials indicate that this vulnerability has been remediated, but it's unclear which version resolved the issue. Exploitation evidence was first observed by the Shadowserver Foundation on 2023-10-18 (UTC).

It is possible to read the advisory at weaver.com.cn. This vulnerability is uniquely identified as CVE-2016-20097 since 08/11/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 08/11/2026). The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 7.3

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

08/11/2026 Advisory disclosed
08/11/2026 +0 days CVE reserved
08/11/2026 +0 days VulDB entry created
08/11/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: weaver.com.cn
Status: Not defined

CVE: CVE-2016-20097 (🔒)
GCVE (CVE): GCVE-0-2016-20097
GCVE (VulDB): GCVE-100-388347

Entryinfo

Created: 08/11/2026 20:29
Changes: 08/11/2026 20:29 (53)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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