Apache Impala up to 3.2.0 Random Number Generator missing authentication

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-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, was found in Apache Impala up to 3.2.0. The affected element is an unknown function of the component Random Number Generator. Such manipulation leads to missing authentication. This vulnerability is documented as CVE-2019-10084. The attack can be executed remotely. There is not any exploit available.

Detailsinfo

A vulnerability was found in Apache Impala up to 3.2.0 and classified as problematic. Affected by this issue is some unknown functionality of the component Random Number Generator. The manipulation with an unknown input leads to a missing authentication vulnerability. Using CWE to declare the problem leads to CWE-306. The product does not perform any authentication for functionality that requires a provable user identity or consumes a significant amount of resources. Impacted is confidentiality. CVE summarizes:

In Apache Impala 2.7.0 to 3.2.0, an authenticated user with access to the IDs of active Impala queries or sessions can interact with those sessions or queries via a specially-constructed request and thereby potentially bypass authorization and audit mechanisms. Session and query IDs are unique and random, but have not been documented or consistently treated as sensitive secrets. Therefore they may be exposed in logs or interfaces. They were also not generated with a cryptographically secure random number generator, so are vulnerable to random number generator attacks that predict future IDs based on past IDs. Impala deployments with Apache Sentry or Apache Ranger authorization enabled may be vulnerable to privilege escalation if an authenticated attacker is able to hijack a session or query from another authenticated user with privileges not assigned to the attacker. Impala deployments with audit logging enabled may be vulnerable to incorrect audit logging as a user could undertake actions that were logged under the name of a different authenticated user. Constructing an attack requires a high degree of technical sophistication and access to the Impala system as an authenticated user.

The weakness was released 11/05/2019 (Website). The advisory is available at lists.apache.org. This vulnerability is handled as CVE-2019-10084 since 03/26/2019. The exploitation is known to be difficult. The attack may be launched remotely. A simple authentication is required for exploitation. The technical details are unknown and an exploit is not available. The structure of the vulnerability defines a possible price range of USD $0-$5k at the moment (estimation calculated on 11/06/2019).

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

If you want to get best quality of vulnerability data, you may have to visit VulDB.

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

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

VulDB Base Score: 3.1
VulDB Temp Score: 3.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
💳💳💳💳💳💳
💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock

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

NVD Base Score: 🔍

Exploitinginfo

Class: Missing authentication
CWE: CWE-306 / CWE-287
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-DayUnlockUnlockUnlockUnlock
TodayUnlockUnlockUnlockUnlock

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

03/26/2019 🔍
11/05/2019 +224 days 🔍
11/06/2019 +1 days 🔍
11/06/2019 +0 days 🔍

Sourcesinfo

Vendor: apache.org

Advisory: lists.apache.org
Status: Not defined

CVE: CVE-2019-10084 (🔍)
GCVE (CVE): GCVE-0-2019-10084
GCVE (VulDB): GCVE-100-144986

Entryinfo

Created: 11/06/2019 07:37
Updated: 11/06/2019 07:42
Changes: 11/06/2019 07:37 (38), 11/06/2019 07:42 (17)
Complete: 🔍
Cache ID: 216::103

If you want to get best quality of vulnerability data, you may have to visit VulDB.

Discussion

No comments yet. Languages: en.

Please log in to comment.

Interested in the pricing of exploits?

See the underground prices here!