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Python CVE-2026-1777

HIGH
Cleartext Transmission of Sensitive Information (CWE-319)
2026-02-02 ff89ba41-3aa1-4d27-914a-91399e9639e5 GHSA-rjrp-m2jw-pv9c
7.2
CVSS 3.1 · NVD
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Obtain HMAC signing key from DescribeTrainingJob response
  2. Delivery
    Gain access to Training Jobs S3 output location
  3. Exploit
    Upload malicious artifacts to S3
  4. Execution
    Trigger next Training Job execution
  5. Impact
    Execute arbitrary code

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A04:2025 - Cryptographic Failures
ASVS 5.0
V12 - Secure Communication Transport encryption
Exploitation Conditions

Attacker requires high-privilege AWS IAM permissions to call DescribeTrainingJob API AND write permissions to the specific S3 bucket designated as Training Jobs output location. Amazon SageMaker Python SDK versions before v3.2.0 and v2.256.0 must be in use with ModelBuilder feature enabled.

Impact

CVSS 7.2 (HIGH). Attack vector: Network. Complexity: Low. Privileges required: High. User interaction: None.

Exploit ScenarioDerived

An attacker could exploit this vulnerability to compromise the affected system.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
Patch available 0.0% exploitation probability (EPSS)

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AnalysisAIv1 – Mar 12, 2026

Amazon SageMaker Python SDK versions before 3.2.0 and 2.256.0 expose the ModelBuilder HMAC signing key in cleartext API responses, allowing authenticated users with S3 bucket write access to inject malicious artifacts into training jobs that execute with elevated privileges. An attacker with dual permissions to call the DescribeTrainingJob API and modify the training output S3 location can achieve arbitrary code execution when the compromised job runs. No patch is currently available for this vulnerability.

Earlier versions of this analysis (1)
v1 Mar 12, 2026 - 22:01 CVSS 7.2

The Amazon SageMaker Python SDK before v3.2.0 and v2.256.0 includes the ModelBuilder HMAC signing key in the cleartext response elements of the DescribeTrainingJob function. [CVSS 7.2 HIGH]

RemediationAI

Monitor vendor advisories for a patch. Restrict network access to the affected service where possible.

Affected Packages

pypi sagemaker fix: 2.256.0, 3.2.0

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in pypi

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

Classified as CWE-319 (Cleartext Transmission of Sensitive Information). The Amazon SageMaker Python SDK before v3.2.0 and v2.256.0 includes the ModelBuilder HMAC signing key in the cleartext response elements of the DescribeTrainingJob function. A third party with permissions to both call this API and permissions to modify objects in the Training Jobs S3 output location may have the ability to upload arbitrary artifacts which are executed the next time the Training Job is invoked.

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  • Exploit and PoC references, threat intelligence from 22 sources

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Severity by source

NVD PRIMARY 7.2 HIGH
AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

Attack Vector
Network
Attack Complexity
Low
Privileges Required
High
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

2
Patch released
Mar 31, 2026 - 21:13 nvd
Patch available
CVE Published
Feb 02, 2026 - 23:16 nvd
HIGH 7.2

DescriptionCVE.org

The Amazon SageMaker Python SDK before v3.2.0 and v2.256.0 includes the ModelBuilder HMAC signing key in the cleartext response elements of the DescribeTrainingJob function. A third party with permissions to both call this API and permissions to modify objects in the Training Jobs S3 output location may have the ability to upload arbitrary artifacts which are executed the next time the Training Job is invoked.

Executive ViewAI

Why It Matters

Amazon SageMaker deployments using affected SDK versions are exposing sensitive ModelBuilder HMAC signing keys in plaintext through API responses, creating a critical authentication bypass risk. Organizations using SageMaker for model training and deployment need immediate assessment and remediation to prevent unauthorized access to machine learning pipelines and potential data exfiltration.

Business Impact: High
Compensating Controls

Implement restrictive IAM policies limiting DescribeTrainingJob API access to authorized users only; enable VPC endpoints for SageMaker API calls to prevent external API exposure; rotate ModelBuilder HMAC keys immediately and monitor for unauthorized usage patterns; consider disabling ModelBuilder feature until patch deployment if business operations allow; enable CloudTrail logging and set alerts for DescribeTrainingJob API invocations; implement network segmentation to limit lateral movement from compromised credentials.

Threat Intelligence Overview

EPSS Score
0.0%
Top 98% exploitable
Data Quality
4 sources
Confidence: Medium

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.0%
Patch available Yes
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation· derived
None
System Exposure· derived
Open
Automatable· derived
No
Human Impact
High

Priority Score

36
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +36
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

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