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net-imap rubygem vulnerable to possible DoS by memory exhaustion

Moderate severity GitHub Reviewed Published Apr 26, 2025 in ruby/net-imap • Updated Apr 30, 2025

Package

bundler net-imap (RubyGems)

Affected versions

>= 0.5.0, <= 0.5.6
>= 0.4.0, <= 0.4.19
>= 0.3.0, <= 0.3.8
>= 0, <= 0.2.4

Patched versions

0.5.7
0.4.20
0.3.9
0.2.5

Description

Summary

There is a possibility for denial of service by memory exhaustion when net-imap reads server responses. At any time while the client is connected, a malicious server can send can send a "literal" byte count, which is automatically read by the client's receiver thread. The response reader immediately allocates memory for the number of bytes indicated by the server response.

This should not be an issue when securely connecting to trusted IMAP servers that are well-behaved. It can affect insecure connections and buggy, untrusted, or compromised servers (for example, connecting to a user supplied hostname).

Details

The IMAP protocol allows "literal" strings to be sent in responses, prefixed with their size in curly braces (e.g. {1234567890}\r\n). When Net::IMAP receives a response containing a literal string, it calls IO#read with that size. When called with a size, IO#read immediately allocates memory to buffer the entire string before processing continues. The server does not need to send any more data. There is no limit on the size of literals that will be accepted.

Fix

Upgrade

Users should upgrade to net-imap 0.5.7 or later. A configurable max_response_size limit has been added to Net::IMAP's response reader. The max_response_size limit has also been backported to net-imap 0.2.5, 0.3.9, and 0.4.20.

To set a global value for max_response_size, users must upgrade to net-imap ~> 0.4.20, or > 0.5.7.

Configuration

To avoid backward compatibility issues for secure connections to trusted well-behaved servers, the default max_response_size for net-imap 0.5.7 is very high (512MiB), and the default max_response_size for net-imap ~> 0.4.20, ~> 0.3.9, and 0.2.5 is nil (unlimited).

When connecting to untrusted servers or using insecure connections, a much lower max_response_size should be used.

# Set the global max_response_size (only ~> v0.4.20, > 0.5.7)
Net::IMAP.config.max_response_size = 256 << 10 # 256 KiB

# Set when creating the connection
imap = Net::IMAP.new(hostname, ssl: true,
                     max_response_size: 16 << 10) # 16 KiB

# Set after creating the connection
imap.max_response_size = 256 << 20 # 256 KiB
# flush currently waiting read, to ensure the new setting is loaded
imap.noop

Please Note: max_response_size only limits the size per response. It does not prevent a flood of individual responses and it does not limit how many unhandled responses may be stored on the responses hash. Users are responsible for adding response handlers to prune excessive unhandled responses.

Compatibility with lower max_response_size

A lower max_response_size may cause a few commands which legitimately return very large responses to raise an exception and close the connection. The max_response_size could be temporarily set to a higher value, but paginated or limited versions of commands should be used whenever possible. For example, to fetch message bodies:

imap.max_response_size = 256 << 20 # 256 KiB
imap.noop # flush currently waiting read

# fetch a message in 252KiB chunks
size = imap.uid_fetch(uid, "RFC822.SIZE").first.rfc822_size
limit = 252 << 10
message = ((0..size) % limit).each_with_object("") {|offset, str|
  str << imap.uid_fetch(uid, "BODY.PEEK[]<#{offset}.#{limit}>").first.message(offset:)
}

imap.max_response_size = 16 << 20 # 16 KiB
imap.noop # flush currently waiting read

References

References

@nevans nevans published to ruby/net-imap Apr 26, 2025
Published to the GitHub Advisory Database Apr 28, 2025
Reviewed Apr 28, 2025
Published by the National Vulnerability Database Apr 28, 2025
Last updated Apr 30, 2025

Severity

Moderate

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 v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements Present
Privileges Required None
User interaction Passive
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability High
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

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.
(25th percentile)

CVE ID

CVE-2025-43857

GHSA ID

GHSA-j3g3-5qv5-52mj

Source code

Credits

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