Azure Machine Learning Notebook Spoofing Vulnerability
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Azure Machine Learning | affected |
|
No data.
| Vendor | Product | Versions | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Azure Machine Learning |
|
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.498% probability within 30 days)
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
ssvc
|
| Type | Values Removed | Values Added |
|---|---|---|
| Description | Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network. | |
| Title | Azure Machine Learning Notebook Spoofing Vulnerability | |
| First Time appeared |
Microsoft
Microsoft azure Machine Learning |
|
| Weaknesses | CWE-74 | |
| CPEs | cpe:2.3:a:microsoft:azure_machine_learning:*:*:*:*:*:*:*:* | |
| Vendors & Products |
Microsoft
Microsoft azure Machine Learning |
|
| References |
| |
| Metrics |
cvssV3_1
|