Amazon Deep Java Library up to 0.36.0 Tensor Buffer Validation integer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.0 | $0-$5k | 0.00+ |
Summary
A vulnerability classified as critical has been found in Amazon Deep Java Library up to 0.36.0. This vulnerability affects unknown code of the component Tensor Buffer Validation. This manipulation causes integer overflow. This vulnerability appears as CVE-2026-85228. The attack may be initiated remotely. There is no available exploit. It is recommended to upgrade the affected component.
Details
A vulnerability was found in Amazon Deep Java Library up to 0.36.0. It has been declared as critical. Affected by this vulnerability is some unknown processing of the component Tensor Buffer Validation. The manipulation with an unknown input leads to a integer overflow vulnerability. The CWE definition for the vulnerability is CWE-190. The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
An integer overflow in the tensor buffer validation component in Amazon Deep Java Library (DJL) from 0.13.0 through 0.36.0 on all platforms might allow a remote unauthenticated actor to obtain information from adjacent process memory or cause a denial of service via a crafted tensor payload. To remediate this issue, users should upgrade to version 0.37.0 or above.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-85228 since 09/03/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available.
Upgrading to version 0.37.0 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
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
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: 8.2VulDB Meta Temp Score: 8.0
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 9.1
CNA Vector (AMZN): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Integer overflowCWE: CWE-190 / CWE-189
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Deep Java Library 0.37.0
Timeline
09/03/2026 CVE reserved09/10/2026 Advisory disclosed
09/10/2026 VulDB entry created
09/10/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Confirmed
CVE: CVE-2026-85228 (🔒)
GCVE (CVE): GCVE-0-2026-85228
GCVE (VulDB): GCVE-100-402163
Entry
Created: 09/10/2026 19:27Changes: 09/10/2026 19:27 (77)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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