| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.2 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Eclipse OpenJ9 up to 0.60. The affected element is an unknown function. Performing a manipulation results in memory corruption. This vulnerability was named CVE-2026-16440. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability classified as problematic has been found in Eclipse OpenJ9 up to 0.60. This affects some unknown functionality. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as 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. This is going to have an impact on availability. The summary by CVE is:
In Eclipse OpenJ9 versions up to 0.60, a crafted .class file with deeply nested annotations causes a segmentation fault.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-16440 since 07/21/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. 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 08/29/2026).
The vulnerability scanner Nessus provides a plugin with the ID 341368 (Linux Distros Unpatched Vulnerability : CVE-2026-16440), which helps to determine the existence of the flaw in a target environment.
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 databases at Tenable (341368) and EUVD (EUVD-2026-62368). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
- 0.1
- 0.2
- 0.3
- 0.4
- 0.5
- 0.6
- 0.7
- 0.8
- 0.9
- 0.10
- 0.11
- 0.12
- 0.13
- 0.14
- 0.15
- 0.16
- 0.17
- 0.18
- 0.19
- 0.20
- 0.21
- 0.22
- 0.23
- 0.24
- 0.25
- 0.26
- 0.27
- 0.28
- 0.29
- 0.30
- 0.31
- 0.32
- 0.33
- 0.34
- 0.35
- 0.36
- 0.37
- 0.38
- 0.39
- 0.40
- 0.41
- 0.42
- 0.43
- 0.44
- 0.45
- 0.46
- 0.47
- 0.48
- 0.49
- 0.50
- 0.51
- 0.52
- 0.53
- 0.54
- 0.55
- 0.56
- 0.57
- 0.58
- 0.59
- 0.60
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 4.3VulDB Meta Temp Score: 4.2
VulDB Base Score: 4.3
VulDB Temp Score: 4.2
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
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 |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 341368
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2026-16440
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
07/21/2026 CVE reserved08/19/2026 Advisory disclosed
08/19/2026 VulDB entry created
08/29/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2026-16440 (🔒)
GCVE (CVE): GCVE-0-2026-16440
GCVE (VulDB): GCVE-100-393003
EUVD: 🔒
Entry
Created: 08/19/2026 12:39Updated: 08/29/2026 09:52
Changes: 08/19/2026 12:39 (65), 08/19/2026 13:16 (2), 08/29/2026 09:52 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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