Apache Mesos up to pre-1.4.x Mesos Masters Rendering JSON Payload memory corruption

| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.4 | $5k-$25k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Apache Mesos up to pre-1.4.x. This affects an unknown function of the component Mesos Masters Rendering. The manipulation as part of JSON Payload leads to memory corruption. This vulnerability is referenced as CVE-2018-11793. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability was found in Apache Mesos up to pre-1.4.x and classified as problematic. This issue affects some unknown functionality of the component Mesos Masters Rendering. The manipulation as part of a JSON Payload leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is availability. The summary by CVE is:
When parsing a JSON payload with deeply nested JSON structures, the parser in Apache Mesos versions pre-1.4.x, 1.4.0 to 1.4.2, 1.5.0 to 1.5.1, 1.6.0 to 1.6.1, and 1.7.0 might overflow the stack due to unbounded recursion. A malicious actor can therefore cause a denial of service of Mesos masters rendering the Mesos-controlled cluster inoperable.
The bug was discovered 03/04/2019. The weakness was published 03/05/2019 (Website). It is possible to read the advisory at securityfocus.com. The identification of this vulnerability is CVE-2018-11793 since 06/05/2018. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 07/26/2023).
The vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $5k-$25k.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.apache.org/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.4
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
06/05/2018 🔍03/04/2019 🔍
03/05/2019 🔍
03/06/2019 🔍
07/26/2023 🔍
Sources
Vendor: apache.orgAdvisory: securityfocus.com⛔
Status: Not defined
CVE: CVE-2018-11793 (🔍)
GCVE (CVE): GCVE-0-2018-11793
GCVE (VulDB): GCVE-100-131315
SecurityFocus: 107281
Entry
Created: 03/06/2019 07:00Updated: 07/26/2023 12:19
Changes: 03/06/2019 07:00 (55), 05/13/2020 16:41 (2), 07/26/2023 12:19 (3)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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