memoffset Crate up to 0.4.x on Rust offset_of/span_of information disclosure

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 (≈)
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CTI Interest Score
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6.3$0-$5k0.00

Summaryinfo

A vulnerability was found in memoffset Crate up to 0.4.x on Rust. It has been rated as problematic. This affects the function offset_of/span_of. The manipulation leads to information disclosure. This vulnerability is traded as CVE-2019-15553. It is possible to initiate the attack remotely. There is no exploit available. Upgrading the affected component is advised.

Detailsinfo

A vulnerability was found in memoffset Crate up to 0.4.x on Rust (Rust Package) and classified as problematic. This issue affects the function offset_of/span_of. The manipulation with an unknown input leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:

An issue was discovered in the memoffset crate before 0.5.0 for Rust. offset_of and span_of can cause exposure of uninitialized memory.

The weakness was shared 08/26/2019. The identification of this vulnerability is CVE-2019-15553 since 08/25/2019. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

Upgrading to version 0.5.0 eliminates this vulnerability.

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

Productinfo

Type

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
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: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: memoffset Crate 0.5.0

Timelineinfo

08/25/2019 🔍
08/26/2019 +1 days 🔍
08/27/2019 +1 days 🔍
12/04/2023 +1560 days 🔍

Sourcesinfo

Advisory: rustsec.org
Status: Not defined

CVE: CVE-2019-15553 (🔍)
GCVE (CVE): GCVE-0-2019-15553
GCVE (VulDB): GCVE-100-140819

Entryinfo

Created: 08/27/2019 08:56
Updated: 12/04/2023 10:23
Changes: 08/27/2019 08:56 (37), 08/06/2020 12:37 (18), 12/04/2023 10:17 (4), 12/04/2023 10:23 (1)
Complete: 🔍
Cache ID: 216::103

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

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