VDB-177104 · CVE-2020-9493 · Nessus 236700

Apache Chainsaw up to 2.0.x deserialization

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.
5.3	$0-$5k	0.00

Summaryinfo

A vulnerability was found in Apache Chainsaw up to 2.0.x and classified as critical. This issue affects some unknown processing. Such manipulation leads to deserialization. This vulnerability is traded as CVE-2020-9493. There is no exploit available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as critical, has been found in Apache Chainsaw up to 2.0.x. Affected by this issue is an unknown code. The manipulation with an unknown input leads to a deserialization vulnerability. Using CWE to declare the problem leads to CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. Impacted is confidentiality, integrity, and availability.

The weakness was shared 06/16/2021. The advisory is shared for download at openwall.com. This vulnerability is handled as CVE-2020-9493. There are neither technical details nor an exploit publicly available.

The vulnerability scanner Nessus provides a plugin with the ID 236700 (Alibaba Cloud Linux 3 : 0006: parfait:0.5 (ALINUX3-SA-2022:0006)), which helps to determine the existence of the flaw in a target environment.

Upgrading to version 2.1.0 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at Tenable (236700). VulDB is the best source for vulnerability data and more expert information about this specific topic.

Productinfo

Vendor

Apache

Name

Chainsaw

Version

License

open-source

Website

Vendor: https://www.apache.org/

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.5
VulDB Meta Temp Score: 5.3

VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AV	AC	Au	C	I	A
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳

Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

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

Physical: No
Local: No
Remote: Partially

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-Day	Unlock	Unlock	Unlock	Unlock
Today	Unlock	Unlock	Unlock	Unlock

Nessus ID: 236700
Nessus Name: Alibaba Cloud Linux 3 : 0006: parfait:0.5 (ALINUX3-SA-2022:0006)

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Chainsaw 2.1.0

Timelineinfo

03/01/2020 🔍
06/16/2021 +471 days 🔍
06/16/2021 +0 days 🔍
05/17/2025 +1431 days 🔍

Sourcesinfo

Vendor: apache.org

Advisory: openwall.com
Status: Confirmed

CVE: CVE-2020-9493 (🔍)
GCVE (CVE): GCVE-0-2020-9493
GCVE (VulDB): GCVE-100-177104

Entryinfo

Created: 06/16/2021 13:30
Updated: 05/17/2025 15:11
Changes: 06/16/2021 13:30 (37), 06/18/2021 19:58 (5), 05/17/2025 15:11 (16)
Complete: 🔍
Cache ID: 216::103

VulDB is the best source for vulnerability data and more expert information about this specific topic.