Odoo Database Anonymization data processing

CVSS Meta Temp Score
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Current Exploit Price (≈)
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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.
5.4$0-$5k0.00

Summaryinfo

A vulnerability was found in Odoo. It has been classified as critical. Impacted is an unknown function of the component Database Anonymization. The manipulation leads to data processing. This vulnerability is documented as CVE-2017-10803. The attack needs to be performed locally. Additionally, an exploit exists.

Detailsinfo

A vulnerability was found in Odoo (Customer Relationship Management System) (unknown version). It has been rated as critical. This issue affects an unknown code block of the component Database Anonymization. The manipulation with an unknown input leads to a data processing vulnerability. Using CWE to declare the problem leads to CWE-19. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

In Odoo 8.0, Odoo Community Edition 9.0 and 10.0, and Odoo Enterprise Edition 9.0 and 10.0, insecure handling of anonymization data in the Database Anonymization module allows remote authenticated privileged users to execute arbitrary Python code, because unpickle is used.

The bug was discovered 06/29/2017. The weakness was released 07/04/2017 (GitHub Repository). It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2017-10803 since 07/03/2017. The attack may be initiated remotely. The requirement for exploitation is a simple authentication. It demands that the victim is doing some kind of user interaction. 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 5 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 (44064). Entries connected to this vulnerability are available at VDB-103033 and VDB-103032. Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Type

Name

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.6
VulDB Meta Temp Score: 5.4

VulDB Base Score: 4.8
VulDB Temp Score: 4.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
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: Data processing
CWE: CWE-19
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

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

06/29/2017 🔍
07/03/2017 +4 days 🔍
07/04/2017 +1 days 🔍
07/04/2017 +0 days 🔍
07/05/2017 +1 days 🔍
12/28/2024 +2733 days 🔍

Sourcesinfo

Product: github.com

Advisory: 17898
Status: Not defined
Confirmation: 🔍

CVE: CVE-2017-10803 (🔍)
GCVE (CVE): GCVE-0-2017-10803
GCVE (VulDB): GCVE-100-103031
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 07/05/2017 09:13
Updated: 12/28/2024 15:21
Changes: 07/05/2017 09:13 (57), 10/22/2019 09:30 (5), 12/09/2022 16:14 (4), 12/28/2024 15:21 (18)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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