Apache Arrow up to 0.14.1 Parquet null pointer dereference

CVSS Meta Temp Score
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CTI Interest Score
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7.5$0-$5k0.00

Summaryinfo

A vulnerability has been found in Apache Arrow up to 0.14.1 and classified as problematic. This impacts an unknown function of the component Parquet. The manipulation leads to null pointer dereference. This vulnerability is listed as CVE-2019-12410. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability, which was classified as critical, has been found in Apache Arrow up to 0.14.1. This issue affects an unknown part of the component Parquet. The manipulation with an unknown input leads to a null pointer dereference vulnerability. Using CWE to declare the problem leads to CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. Impacted is availability. The summary by CVE is:

While investigating UBSAN errors in https://github.com/apache/arrow/pull/5365 it was discovered Apache Arrow versions 0.12.0 to 0.14.1, left memory Array data uninitialized when reading RLE null data from parquet. This affected the C++, Python, Ruby and R implementations. The uninitialized memory could potentially be shared if are transmitted over the wire (for instance with Flight) or persisted in the streaming IPC and file formats.

The weakness was presented 11/08/2019 (Website). The advisory is shared at lists.apache.org. The identification of this vulnerability is CVE-2019-12410 since 05/28/2019. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 11/09/2019).

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

See VDB-145252 for similar entry. If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.5
VulDB Meta Temp Score: 7.5

VulDB Base Score: 7.5
VulDB Temp Score: 7.5
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Null pointer dereference
CWE: CWE-476 / CWE-404
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: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

05/28/2019 🔍
11/08/2019 +164 days 🔍
11/09/2019 +1 days 🔍
11/09/2019 +0 days 🔍

Sourcesinfo

Vendor: apache.org

Advisory: lists.apache.org
Status: Not defined
Confirmation: 🔍

CVE: CVE-2019-12410 (🔍)
GCVE (CVE): GCVE-0-2019-12410
GCVE (VulDB): GCVE-100-145253
See also: 🔍

Entryinfo

Created: 11/09/2019 13:12
Updated: 11/09/2019 13:17
Changes: 11/09/2019 13:12 (39), 11/09/2019 13:17 (17)
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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