Contiki-NG up to 4.1 AQL aql-lexer.c next_string memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.5$0-$5k0.00

Summaryinfo

A vulnerability has been found in Contiki-NG up to 4.1 and classified as critical. Affected is the function next_string of the file os/storage/antelope/aql-lexer.c of the component AQL Handler. The manipulation leads to memory corruption. This vulnerability is traded as CVE-2018-16666. An attack has to be approached locally. There is no exploit available.

Detailsinfo

A vulnerability was found in Contiki-NG up to 4.1. It has been rated as critical. This issue affects the function next_string of the file os/storage/antelope/aql-lexer.c of the component AQL Handler. 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:

An issue was discovered in Contiki-NG through 4.1. There is a stack-based buffer overflow in next_string in os/storage/antelope/aql-lexer.c while parsing AQL (parsing next string).

The bug was discovered 07/09/2018. The weakness was shared 09/07/2018 (Website). The advisory is shared at github.com. The identification of this vulnerability is CVE-2018-16666 since 09/07/2018. The exploitation is known to be easy. An attack has to be approached locally. No form of authentication is needed for a successful exploitation. Technical details are known, but no exploit is available.

The vulnerability was handled as a non-public zero-day exploit for at least 60 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 entries VDB-123750, VDB-123748, VDB-123747 and VDB-123746 are related to this item. If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

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Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

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

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

NVD Base Score: 7.8
NVD Vector: 🔍

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: 🔍
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

07/09/2018 🔍
09/07/2018 +59 days 🔍
09/07/2018 +0 days 🔍
09/07/2018 +0 days 🔍
09/08/2018 +1 days 🔍
05/07/2023 +1702 days 🔍

Sourcesinfo

Product: github.com

Advisory: 595
Status: Not defined

CVE: CVE-2018-16666 (🔍)
GCVE (CVE): GCVE-0-2018-16666
GCVE (VulDB): GCVE-100-123749
See also: 🔍

Entryinfo

Created: 09/08/2018 09:07
Updated: 05/07/2023 14:51
Changes: 09/08/2018 09:07 (58), 03/21/2020 17:05 (1), 05/07/2023 14:51 (3)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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