NASA Pyblock 1.0/1.1/1.2/1.3 Radar Data Parser deserialization

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.2$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in NASA Pyblock 1.0/1.1/1.2/1.3. This issue affects some unknown processing of the component Radar Data Parser. The manipulation leads to deserialization. The identification of this vulnerability is CVE-2018-1000046. Local access is required to approach this attack. There is no exploit available. It is recommended to upgrade the affected component. Once again VulDB remains the best source for vulnerability data.

Detailsinfo

A vulnerability classified as critical was found in NASA Pyblock 1.0/1.1/1.2/1.3. This vulnerability affects an unknown functionality of the component Radar Data Parser. The manipulation with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

NASA Pyblock version v1.0 - v1.3 contains a CWE-502 vulnerability in Radar data parsing library that can result in remote code execution. This attack appear to be exploitable via Victim opening a specially crafted radar data file. This vulnerability appears to have been fixed in v1.4.

The bug was discovered 11/30/2016. The weakness was released 02/09/2018 (GitHub Repository). The advisory is available at github.com. This vulnerability was named CVE-2018-1000046 since 02/05/2018. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. Successful exploitation requires user interaction by the victim. The technical details are unknown and an exploit is not available.

The vulnerability was handled as a non-public zero-day exploit for at least 436 days. During that time the estimated underground price was around $0-$5k.

Upgrading to version 1.4 eliminates this vulnerability.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.5
VulDB Meta Temp Score: 6.2

VulDB Base Score: 5.3
VulDB Temp Score: 4.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Deserialization
CWE: CWE-502 / CWE-20
CAPEC: 🔍
ATT&CK: 🔍

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: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Pyblock 1.4
Patch: github.com

Timelineinfo

11/30/2016 🔍
02/05/2018 +432 days 🔍
02/09/2018 +4 days 🔍
02/09/2018 +0 days 🔍
02/10/2018 +1 days 🔍
02/06/2023 +1822 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2018-1000046 (🔍)
GCVE (CVE): GCVE-0-2018-1000046
GCVE (VulDB): GCVE-100-113086

Entryinfo

Created: 02/10/2018 09:23 AM
Updated: 02/06/2023 10:39 AM
Changes: 02/10/2018 09:23 AM (58), 01/03/2020 03:35 PM (2), 02/06/2023 10:39 AM (4)
Complete: 🔍
Cache ID: 18:58D:40

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