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Potential memory exhaustion attack due to sparse slice deserialization

High severity GitHub Reviewed Published Jun 29, 2024 in gorilla/schema • Updated Jul 5, 2024

Package

gomod github.com/gorilla/schema (Go)

Affected versions

< 1.4.1

Patched versions

1.4.1

Description

Details

Running schema.Decoder.Decode() on a struct that has a field of type []struct{...} opens it up to malicious attacks regarding memory allocations, taking advantage of the sparse slice functionality. For instance, in the Proof of Concept written below, someone can specify to set a field of the billionth element and it will allocate all other elements before it in the slice.

In the local environment environment for my project, I was able to call an endpoint like /innocent_endpoint?arr.10000000.X=1 and freeze my system from the memory allocation while parsing r.Form. I think this line is responsible for allocating the slice, although I haven't tested to make sure, so it's just an educated guess.

Proof of Concept

The following proof of concept works on both v1.2.0 and v1.2.1. I have not tested earlier versions.

package main

import (
	"fmt"

	"github.com/gorilla/schema"
)

func main() {
	dec := schema.NewDecoder()
	var result struct {
		Arr []struct{ Val int }
	}
	if err := dec.Decode(&result, map[string][]string{"arr.1000000000.Val": {"1"}}); err != nil {
		panic(err)
	}
	fmt.Printf("%#+v\n", result)
}

Impact

Any use of schema.Decoder.Decode() on a struct with arrays of other structs could be vulnerable to this memory exhaustion vulnerability. There seems to be no possible solution that a developer using this library can do to disable this behaviour without fixing it in this project, so all uses of Decode that fall under this umbrella are affected. A fix that doesn't require a major change may also be harder to find, since it could break compatibility with some other intended use-cases.

References

@jaitaiwan jaitaiwan published to gorilla/schema Jun 29, 2024
Published by the National Vulnerability Database Jul 1, 2024
Published to the GitHub Advisory Database Jul 1, 2024
Reviewed Jul 1, 2024
Last updated Jul 5, 2024

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
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
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:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS score

0.045%
(17th percentile)

Weaknesses

CVE ID

CVE-2024-37298

GHSA ID

GHSA-3669-72x9-r9p3

Source code

Credits

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