CVE-2019-19702 is a high-severity (CVSS 7.5) XML External Entity (XXE) vulnerability in modoboa-dmarc. 1 public exploit or proof-of-concept reference is indexed, so weaponization risk is real. A fix is available for modoboa-dmarc — see the affected versions and patch details below.
Modoboa is vulnerable to an XML External Entity Injection (XXE)
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
How urgent is this, really
Where this sits among everything scored
Real-World Exposure
modoboa-dmarcReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
The modoboa-dmarc plugin 1.1.0 for Modoboa is vulnerable to an XML External Entity Injection (XXE) attack when processing XML data. A remote attacker could exploit this to perform a denial of service against the DMARC reporting functionality, such as by referencing the /dev/random file within XML documents that are emailed to the address in the rua field of the DMARC records of a domain.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | modoboa-dmarc | all versions | 1.2.0pip install --upgrade 'modoboa-dmarc==1.2.0' |
Affected Products
modoboa-dmarcmodoboaResearch use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for modoboa-dmarc, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update modoboa-dmarc to 1.2.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2019-19702 is resolved across your whole dependency graph.
Workarounds
Cap what an attacker can consume: apply request size, rate and timeout limits in front of the affected component, and run it with memory and CPU limits so exhaustion degrades one worker rather than the whole service.
Frequently Asked Questions
Is CVE-2019-19702 in your dependencies?
Find it across PyPI, including transitive dependencies.