GOVCERT-LU eml_parser up to 3.0.0 EmlParser.get_raw_body_text recursion
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in GOVCERT-LU eml_parser up to 3.0.0. Affected by this vulnerability is the function EmlParser.get_raw_body_text. Performing a manipulation results in recursion.
This vulnerability is known as CVE-2026-44844. Remote exploitation of the attack is possible. No exploit is available.
It is recommended to upgrade the affected component.
Details
A vulnerability classified as problematic has been found in GOVCERT-LU eml_parser up to 3.0.0. This affects the function EmlParser.get_raw_body_text. The manipulation with an unknown input leads to a recursion vulnerability. CWE is classifying the issue as CWE-674. The product does not properly control the amount of recursion that takes place, consuming excessive resources, such as allocated memory or the program stack. This is going to have an impact on availability. The summary by CVE is:
eml_parser serves as a python module for parsing eml files and returning various information found in the e-mail as well as computed information. Prior to 3.0.1, 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. This vulnerability is fixed in 3.0.1.
The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-44844 since 05/07/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
Upgrading to version 3.0.1 eliminates this vulnerability.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.1
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: RecursionCWE: CWE-674 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: eml_parser 3.0.1
Timeline
05/07/2026 CVE reserved05/26/2026 Advisory disclosed
05/26/2026 VulDB entry created
05/26/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-g47v-rwmh-r9f8
Status: Confirmed
CVE: CVE-2026-44844 (🔒)
GCVE (CVE): GCVE-0-2026-44844
GCVE (VulDB): GCVE-100-365805
Entry
Created: 05/26/2026 23:31Changes: 05/26/2026 23:31 (67)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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