7.7 CVE-2026-4035
Enriched by CISA Patch Exploit
A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.
https://nvd.nist.gov/vuln/detail/CVE-2026-4035
Categories
CWE-201 : Insertion of Sensitive Information Into Sent Data
The code transmits data to another actor, but a portion of the data includes sensitive information that should not be accessible to that actor. Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.) Specify which data in the software should be regarded as sensitive. Consider which types of users should have access to which types of data. Ensure that any possibly sensitive data specified in the requirements is verified with designers to ensure that it is either a calculated risk or mitigated elsewhere. Any information that is not necessary to the functionality should be removed in order to lower both the overhead and the possibility of security sensitive data being sent. Setup default error messages so that unexpected errors do not disclose sensitive information. collaboration platform does not honor a "show email address" setting for a response by an API endpoint RPC server for a VPN product returns an object that contains heap addresses Collaboration platform does not clear team emails in a response, allowing leak of email addresses
References
134c704f-9b21-4f2e-91b3-4a467353bcc0 Exploit
security@huntr.dev Patch Exploit
AFFECTED (from MITRE)
| Vendor |
Product |
Versions |
| mlflow |
mlflow/mlflow |
- unspecified < 3.11.0 [affected]
|
| © 2022 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. |
CPE
| cpe |
start |
end |
| Configuration 1 |
| cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:* |
|
< 3.11.0 |
REMEDIATION
Patch
EXPLOITS
Exploit-db.com
| id |
description |
date |
|
| No known exploits |
POC Github
Other Nist (github, ...)
CAPEC
Common Attack Pattern Enumerations and Classifications
| id |
description |
severity |
| 12 |
Choosing Message Identifier
This pattern of attack is defined by the selection of messages distributed via multicast or public information channels that are intended for another client by determining the parameter value assigned to that client. This attack allows the adversary to gain access to potentially privileged information, and to possibly perpetrate other attacks through the distribution means by impersonation. If the channel/message being manipulated is an input rather than output mechanism for the system, (such as a command bus), this style of attack could be used to change the adversary's identifier to more a privileged one. [Determine Nature of Messages] Determine the nature of messages being transported as well as the identifiers to be used as part of the attack [Authenticate] If required, authenticate to the distribution channel [Identify Known Client Identifiers] If any particular client's information is available through a control channel available to all users, the adversary will discover particular identifiers for targeted clients by observing this channel, or requesting client information through this channel. [Change Message Identifier] Adversaries with client access connecting to output channels could change their channel identifier and see someone else's (perhaps more privileged) data. |
High |
| 217 |
Exploiting Incorrectly Configured SSL/TLS
An adversary takes advantage of incorrectly configured SSL/TLS communications that enables access to data intended to be encrypted. The adversary may also use this type of attack to inject commands or other traffic into the encrypted stream to cause compromise of either the client or server. [Determine SSL/TLS Configuration] Determine the SSL/TLS configuration of either the server or client being targeted, preferably both. This is not a hard requirement, as the adversary can simply assume commonly exploitable configuration settings and indiscriminately attempt them. [Intercept Communication] Provide controlled access to the server by the client, by either providing a link for the client to click on, or by positioning one's self at a place on the network to intercept and control the flow of data between client and server, e.g. AiTM (adversary in the middle - CAPEC-94). [Capture or Manipulate Sensitive Data] Once the adversary has the ability to intercept the secure communication, they exploit the incorrectly configured SSL to view the encrypted communication. The adversary can choose to just record the secure communication or manipulate the data to achieve a desired effect. |
|
| 612 |
WiFi MAC Address Tracking
In this attack scenario, the attacker passively listens for WiFi messages and logs the associated Media Access Control (MAC) addresses. These addresses are intended to be unique to each wireless device (although they can be configured and changed by software). Once the attacker is able to associate a MAC address with a particular user or set of users (for example, when attending a public event), the attacker can then scan for that MAC address to track that user in the future. |
Low |
| 613 |
WiFi SSID Tracking
In this attack scenario, the attacker passively listens for WiFi management frame messages containing the Service Set Identifier (SSID) for the WiFi network. These messages are frequently transmitted by WiFi access points (e.g., the retransmission device) as well as by clients that are accessing the network (e.g., the handset/mobile device). Once the attacker is able to associate an SSID with a particular user or set of users (for example, when attending a public event), the attacker can then scan for this SSID to track that user in the future. |
Low |
| 618 |
Cellular Broadcast Message Request
In this attack scenario, the attacker uses knowledge of the target’s mobile phone number (i.e., the number associated with the SIM used in the retransmission device) to cause the cellular network to send broadcast messages to alert the mobile device. Since the network knows which cell tower the target’s mobile device is attached to, the broadcast messages are only sent in the Location Area Code (LAC) where the target is currently located. By triggering the cellular broadcast message and then listening for the presence or absence of that message, an attacker could verify that the target is in (or not in) a given location. |
Low |
| 619 |
Signal Strength Tracking
In this attack scenario, the attacker passively monitors the signal strength of the target’s cellular RF signal or WiFi RF signal and uses the strength of the signal (with directional antennas and/or from multiple listening points at once) to identify the source location of the signal. Obtaining the signal of the target can be accomplished through multiple techniques such as through Cellular Broadcast Message Request or through the use of IMSI Tracking or WiFi MAC Address Tracking. |
Low |
| 621 |
Analysis of Packet Timing and Sizes
An attacker may intercept and log encrypted transmissions for the purpose of analyzing metadata such as packet timing and sizes. Although the actual data may be encrypted, this metadata may reveal valuable information to an attacker. Note that this attack is applicable to VOIP data as well as application data, especially for interactive apps that require precise timing and low-latency (e.g. thin-clients). |
Low |
| 622 |
Electromagnetic Side-Channel Attack
In this attack scenario, the attacker passively monitors electromagnetic emanations that are produced by the targeted electronic device as an unintentional side-effect of its processing. From these emanations, the attacker derives information about the data that is being processed (e.g. the attacker can recover cryptographic keys by monitoring emanations associated with cryptographic processing). This style of attack requires proximal access to the device, however attacks have been demonstrated at public conferences that work at distances of up to 10-15 feet. There have not been any significant studies to determine the maximum practical distance for such attacks. Since the attack is passive, it is nearly impossible to detect and the targeted device will continue to operate as normal after a successful attack. |
Low |
| 623 |
Compromising Emanations Attack
Compromising Emanations (CE) are defined as unintentional signals which an attacker may intercept and analyze to disclose the information processed by the targeted equipment. Commercial mobile devices and retransmission devices have displays, buttons, microchips, and radios that emit mechanical emissions in the form of sound or vibrations. Capturing these emissions can help an adversary understand what the device is doing. |
Low |
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