Summary
Fiona affected by CVE-2020-14152 related to madler-zlib
Vulnerability scan of fiona shows CVE-2020-14152. The vulnerability is in libjpeg, a transitive dependency of fiona (via GDAL and PROJ).
Details
In IJG JPEG (aka libjpeg) before 9d, jpeg_mem_available() in jmemnobs.c in djpeg does not honor the max_memory_to_use setting, possibly causing excessive memory consumption.
Impact
fiona will not open JPEG files and is not vulnerable to attack in that way. fiona might be vulnerable to malformed PROJ grid files using JPEG compression. No such vulnerability or compromise has been demonstrated.
Crafted input forces the application to consume excessive CPU, memory, or other resources, degrading or denying service. Typical impact: denial of service.
GHSA-G4M4-9Q4C-MFW6 has a CVSS score of 7.1 (High). The vector is requires local access, no privileges required, and user interaction required. A CVSS score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether this affects your application depends on whether the vulnerable code is present and reachable in your environment. A fixed version is available (1.10b2); upgrading removes the vulnerable code path.
Affected versions
Security releases
Kodem intelligence
Severity tells you how bad this could be in the worst case. It does not tell you whether you are exposed. Exploitability and impact are functions of runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A vulnerable package can sit in your dependency tree and never run.
Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter. Kodem's runtime-powered SCA identifies whether this CVE is reachable in your applications.
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Frequently Asked Questions
- What is GHSA-G4M4-9Q4C-MFW6? GHSA-G4M4-9Q4C-MFW6 is a high-severity uncontrolled resource consumption vulnerability in fiona (pip), affecting versions < 1.10b2. It is fixed in 1.10b2. Crafted input forces the application to consume excessive CPU, memory, or other resources, degrading or denying service.
- How severe is GHSA-G4M4-9Q4C-MFW6? GHSA-G4M4-9Q4C-MFW6 has a CVSS score of 7.1 (High). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.
- Which versions of fiona are affected by GHSA-G4M4-9Q4C-MFW6? fiona (pip) versions < 1.10b2 is affected.
- Is there a fix for GHSA-G4M4-9Q4C-MFW6? Yes. GHSA-G4M4-9Q4C-MFW6 is fixed in 1.10b2. Upgrade to this version or later.
- Is GHSA-G4M4-9Q4C-MFW6 exploitable, and should I be worried? Whether GHSA-G4M4-9Q4C-MFW6 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
- What actually determines whether GHSA-G4M4-9Q4C-MFW6 is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.
- How do I fix GHSA-G4M4-9Q4C-MFW6? Upgrade
fionato 1.10b2 or later.