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.
4.9$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in HP ThinPro. Affected by this issue is some unknown functionality. The manipulation leads to authorization. This vulnerability is uniquely identified as CVE-2019-16285. Local access is required to approach this attack. No exploit exists.

Detailsinfo

A vulnerability was found in HP ThinPro (affected version unknown) and classified as problematic. This issue affects an unknown functionality. The manipulation with an unknown input leads to a authorization vulnerability. Using CWE to declare the problem leads to CWE-863. The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions. Impacted is confidentiality. The summary by CVE is:

If a local user has been configured and logged in, an unauthenticated attacker with physical access may be able to extract sensitive information onto a local drive.

The weakness was disclosed 11/22/2019 (Website). It is possible to read the advisory at support.hp.com. The identification of this vulnerability is CVE-2019-16285 since 09/13/2019. Attacking locally is a requirement. The successful exploitation needs a simple authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 02/26/2024).

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

The entries VDB-146148, VDB-146149, VDB-146156 and VDB-146157 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.9
VulDB Meta Temp Score: 4.9

VulDB Base Score: 4.0
VulDB Temp Score: 4.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

Vendor Base Score (HP): 6.1
Vendor Vector (HP): 🔍

NVD Base Score: 4.6
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Authorization
CWE: CWE-863 / CWE-285 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: Yes
Local: Yes
Remote: No

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

09/13/2019 🔍
11/22/2019 +70 days 🔍
11/23/2019 +1 days 🔍
02/26/2024 +1556 days 🔍

Sourcesinfo

Vendor: hp.com

Advisory: 156895
Status: Not defined

CVE: CVE-2019-16285 (🔍)
GCVE (CVE): GCVE-0-2019-16285
GCVE (VulDB): GCVE-100-146147
See also: 🔍

Entryinfo

Created: 11/23/2019 09:16
Updated: 02/26/2024 15:01
Changes: 11/23/2019 09:16 (45), 11/23/2019 09:21 (17), 02/26/2024 15:01 (3)
Complete: 🔍
Cache ID: 216::103

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

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