CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.0$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in r 3.4.4. Affected is an unknown function. The manipulation leads to memory corruption. This vulnerability is listed as CVE-2018-9060. The attack must be carried out locally. In addition, an exploit is available.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in r 3.4.4. This issue affects an unknown functionality. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

R 3.4.4 suffers from a local buffer overflow that allows code execution.

The bug was discovered 04/23/2018. The weakness was presented 04/24/2018 (Website). It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2018-9060 since 03/27/2018. Attacking locally is a requirement. The successful exploitation needs a simple authentication. Technical details are unknown but a public exploit is available.

The exploit is available at exploit-db.com. It is declared as proof-of-concept. The vulnerability was handled as a non-public zero-day exploit for at least 1 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.

The vulnerability is also documented in the vulnerability database at Exploit-DB (44516). 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: 5.3
VulDB Meta Temp Score: 5.0

VulDB Base Score: 5.3
VulDB Temp Score: 5.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍

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Exploit-DB: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

03/27/2018 🔍
04/23/2018 +27 days 🔍
04/24/2018 +1 days 🔍
04/25/2018 +1 days 🔍
03/07/2023 +1777 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2018-9060 (🔍)
GCVE (CVE): GCVE-0-2018-9060
GCVE (VulDB): GCVE-100-117083
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 04/25/2018 08:48
Updated: 03/07/2023 15:05
Changes: 04/25/2018 08:48 (36), 01/31/2020 14:16 (7), 03/07/2023 15:05 (8)
Complete: 🔍
Cache ID: 216::103

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

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