Structured Data Linter up to 2.4.1 URL path traversal

CVSS Meta Temp Score
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CTI Interest Score
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6.4$0-$5k0.00

Summaryinfo

A vulnerability was found in Structured Data Linter up to 2.4.1. It has been rated as problematic. This affects an unknown function of the component URL Handler. The manipulation leads to path traversal. This vulnerability is documented as CVE-2017-1000448. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in Structured Data Linter up to 2.4.1. This issue affects an unknown function of the component URL Handler. The manipulation with an unknown input leads to a path traversal vulnerability. Using CWE to declare the problem leads to CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. Impacted is confidentiality. The summary by CVE is:

Structured Data Linter versions 2.4.1 and older are vulnerable to a directory traversal attack in the URL input field resulting in the possibility of disclosing information about the remote host.

The bug was discovered 09/25/2017. The weakness was released 01/02/2018 (Website). It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2017-1000448 since 01/02/2018. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1006 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 99 days. During that time the estimated underground price was around $0-$5k.

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

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.4

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Path traversal
CWE: CWE-22
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

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

09/25/2017 🔍
01/02/2018 +99 days 🔍
01/02/2018 +0 days 🔍
01/02/2018 +0 days 🔍
01/03/2018 +1 days 🔍
01/19/2023 +1842 days 🔍

Sourcesinfo

Advisory: 41
Status: Not defined

CVE: CVE-2017-1000448 (🔍)
GCVE (CVE): GCVE-0-2017-1000448
GCVE (VulDB): GCVE-100-111251

Entryinfo

Created: 01/03/2018 09:19
Updated: 01/19/2023 18:06
Changes: 01/03/2018 09:19 (56), 12/19/2019 08:51 (1), 01/19/2023 18:06 (3)
Complete: 🔍
Cache ID: 216::103

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