KNIME Analytics Platform 3.2.0 ZIP Archive Extraction path traversal

CVSS Meta Temp Score
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CTI Interest Score
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6.3$0-$5k0.00

Summaryinfo

A vulnerability has been found in KNIME Analytics Platform 3.2.0 and classified as critical. Impacted is an unknown function of the component ZIP Archive Extraction Handler. Performing a manipulation results in path traversal. This vulnerability is cataloged as CVE-2022-44749. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability, which was classified as critical, was found in KNIME Analytics Platform 3.2.0. This affects an unknown part of the component ZIP Archive Extraction Handler. The manipulation with an unknown input leads to a path traversal vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

A directory traversal vulnerability in the ZIP archive extraction routines of KNIME Analytics Platform 3.2.0 and above can result in arbitrary files being overwritten on the user's system. This vulnerability is also known as 'Zip-Slip'. An attacker can create a KNIME workflow that, when being opened by a user, can overwrite arbitrary files that the user has write access to. It's not necessary to execute the workflow, opening the workflow is sufficient. The user will notice that something is wrong because an error is being reported but only after the files have already been written. This can impact data integrity (file contents are changed) or cause errors in other software (vital files being corrupted). It can even lead to remote code execution if executable files are being replaced and subsequently executed by the user. In all cases the attacker has to know the location of files on the user's system, though.

The weakness was shared 11/24/2022. The advisory is shared at knime.com. This vulnerability is uniquely identified as CVE-2022-44749 since 11/04/2022. It demands that the victim is doing some kind of user interaction. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1006 for this issue.

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

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.3

VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.0
NVD Vector: 🔍

CNA Base Score: 5.5
CNA Vector (KNIME AG): 🔍

CVSSv2info

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

Exploitinginfo

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

Physical: Partially
Local: Yes
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

11/04/2022 🔍
11/24/2022 +20 days 🔍
11/24/2022 +0 days 🔍
12/23/2022 +29 days 🔍

Sourcesinfo

Advisory: knime.com
Status: Confirmed

CVE: CVE-2022-44749 (🔍)
GCVE (CVE): GCVE-0-2022-44749
GCVE (VulDB): GCVE-100-214329

Entryinfo

Created: 11/24/2022 13:07
Updated: 12/23/2022 08:07
Changes: 11/24/2022 13:07 (38), 12/23/2022 08:07 (19)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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