BlackBerry QNX Software Development Platform up to 6.5.0 SP1/6.6.0 QNX SDP entropy

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.
4.7$0-$5k0.00

Summaryinfo

A vulnerability has been found in BlackBerry QNX Software Development Platform up to 6.5.0 SP1/6.6.0 and classified as critical. The impacted element is an unknown function of the component QNX SDP. Performing a manipulation results in entropy. This vulnerability was named CVE-2017-9371. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability classified as critical has been found in BlackBerry QNX Software Development Platform up to 6.5.0 SP1/6.6.0 (Operating System). This affects an unknown part of the component QNX SDP. The manipulation with an unknown input leads to a entropy vulnerability. CWE is classifying the issue as CWE-332. The lack of entropy available for, or used by, a Pseudo-Random Number Generator (PRNG) can be a stability and security threat. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

In BlackBerry QNX Software Development Platform (SDP) 6.6.0 and 6.5.0 SP1 and earlier, a loss of integrity vulnerability in the default configuration of the QNX SDP could allow an attacker being able to reduce the entropy of the PRNG, making other blended attacks more practical by gaining control over environmental factors that influence seed generation.

The bug was discovered 11/14/2017. The weakness was presented 11/14/2017 (Website). The advisory is shared at support.blackberry.com. This vulnerability is uniquely identified as CVE-2017-9371 since 06/02/2017. The exploitability is told to be difficult. It is possible to initiate the attack remotely. No form of authentication is needed for 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 08/22/2025). MITRE ATT&CK project uses the attack technique T1600.001 for this issue.

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

See VDB-109412 for similar entry. If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Type

Vendor

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.7
VulDB Meta Temp Score: 4.7

VulDB Base Score: 5.6
VulDB Temp Score: 5.6
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 5.9
NVD Vector: 🔍

CNA Base Score: 2.6
CNA 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: Entropy
CWE: CWE-332 / CWE-331 / CWE-330
CAPEC: 🔍
ATT&CK: 🔍

Physical: Yes
Local: Partially
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

06/02/2017 🔍
11/14/2017 +165 days 🔍
11/14/2017 +0 days 🔍
11/14/2017 +0 days 🔍
11/15/2017 +1 days 🔍
08/22/2025 +2837 days 🔍

Sourcesinfo

Advisory: support.blackberry.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2017-9371 (🔍)
GCVE (CVE): GCVE-0-2017-9371
GCVE (VulDB): GCVE-100-109413
See also: 🔍

Entryinfo

Created: 11/15/2017 11:23
Updated: 08/22/2025 18:35
Changes: 11/15/2017 11:23 (58), 12/06/2019 15:42 (2), 08/22/2025 18:35 (27)
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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