Skip to content

eml_parser has recursion DoS via nested message/rfc822 attachments

Moderate severity GitHub Reviewed Published May 5, 2026 in GOVCERT-LU/eml_parser • Updated Jun 8, 2026

Package

pip eml_parser (pip)

Affected versions

<= 3.0.0

Patched versions

3.0.1

Description

Summary

EmlParser.get_raw_body_text() recurses unconditionally for every nested message/rfc822 attachment without any depth limit. An attacker who can supply a badly crafted EML file with approximately 120 nested message/rfc822 parts triggers an unhandled RecursionError and aborts parsing of the message. A 12 KB EML file is enough to crash a worker.
Though this causes the parser to crash, it is an unlikely scenario as the suggested EML that crashes the parser would not pass basic RFC compliance tests.

Details

The vulnerable function is EmlParser.get_raw_body_text() in eml_parser/parser.py. For every part of type multipart/*, the function iterates over its sub-parts; for every sub-part of type message/rfc822, it calls itself recursively on the inner message:

There is no depth parameter and no early-abort. CPython's default sys.recursionlimit is 1000. Each level of message/rfc822 nesting adds approximately 8 frames to the stack (parser code + stdlib _header_value_parser calls), so roughly 120 nested levels exhaust the limit.

The RecursionError is not caught anywhere along the call chain, so it propagates out of decode_email_bytes() and aborts processing of the entire message.

PoC

Environment: Python 3.12.3, eml_parser 3.0.0 (pip install eml_parser==3.0.0), default sys.recursionlimit=1000, Ubuntu 24.04 aarch64. No special configuration of EmlParser, default constructor.

Self-contained reproducer that builds the PoC and triggers the crash:

import eml_parser

def build_poc(depth=124):
    inner = b"From: a@a\r\nTo: b@b\r\nContent-Type: text/plain\r\n\r\n.\r\n"
    msg = inner
    for i in range(depth):
        b = f"B{i}".encode()
        msg = (
            b'Content-Type: multipart/mixed; boundary="' + b + b'"\r\n\r\n'
            b'--' + b + b'\r\nContent-Type: message/rfc822\r\n\r\n'
        ) + msg + b'\r\n--' + b + b'--\r\n'
    return msg

ep = eml_parser.EmlParser()
ep.decode_email_bytes(build_poc())
# RecursionError after ~76 ms on Apple Silicon (Ubuntu 24.04 aarch64).

Note that the suggested code does not produce an RFC compliant message.
Resulting EML payload size: 12,369 bytes.
SHA-256 of generated PoC: 00f15f635e21b4144967c2893b37425e6a6bd7b4185c557e5c7e904e1e6d18e8

The crash is deterministic on a stock install. No network, no special headers, no large attachments.

Impact

Denial of service of any pipeline that processes attacker-supplied EML files using eml_parser.

A single 12 KB email is enough to crash a worker. If the worker is a long-running process triaging multiple emails, the unhandled exception aborts processing of the whole batch unless the caller wraps the call in a broad try/except. Even then, attacker-supplied volume can keep workers in a perpetual restart loop.

The vulnerability is exploitable pre-authentication in any deployment that ingests emails from external senders which have not been subject to any kind of basic validation.
Considering that email messages pass through a mail-server which does some kind of validation, messages as produced by the build_poc function would not reach eml_parser.
Nonetheless recursion depth checks have been implemented to handle the described issue.

Reporter

Sebastián Alba Vives (@Sebasteuo)
Independent security researcher, Senior AppSec Consultant
LinkedIn: https://www.linkedin.com/in/sebastian-alba
Email: sebasjosue84@gmail.com
PGP: 0D1A E4C2 CFC8 894F 19EA DA24 45CD CA33 2CF8 31F4

References

@sim0nx sim0nx published to GOVCERT-LU/eml_parser May 5, 2026
Published to the GitHub Advisory Database May 8, 2026
Reviewed May 8, 2026
Published by the National Vulnerability Database May 26, 2026
Last updated Jun 8, 2026

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 None
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability Low
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:N/VC:N/VI:N/VA:L/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.
(32nd percentile)

Weaknesses

Uncontrolled Recursion

The product does not properly control the amount of recursion that takes place, consuming excessive resources, such as allocated memory or the program stack. Learn more on MITRE.

CVE ID

CVE-2026-44844

GHSA ID

GHSA-g47v-rwmh-r9f8

Source code

Credits

Loading Checking history
See something to contribute? Suggest improvements for this vulnerability.