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GHSA-4h34-v6r8-mmjc
Summary
Glances provides as_dict_secure() explicitly designed for unauthenticated API access, with a docstring stating it returns "a sanitised copy of the configuration dict" where "Sensitive keys in remaining sections are replaced by '********'". However, the implementation only checks KEY names against a regex pattern and never inspects VALUE content. The documented [ip] config section supports public_api (URL), public_username (login), and public_password (password). While public_password is correctly masked, both public_api (when containing embedded credentials like https://user:pass@host/) and public_username are returned in full to unauthenticated users via GET /api/4/config.
Affected Versions
Glances latest (Docker: nicolargo/glances:latest)
Root Cause
In glances/config.py, as_dict_secure():
_SECURE_SENSITIVE_KEY_RE = re.compile(r"password|token|secret|api_key|apikey|ssl_keyfile", re.IGNORECASE)
def as_dict_secure(self):
"""Return a sanitised copy of the configuration dict.
Intended for unauthenticated API access.
- Sensitive keys in remaining sections are replaced by '********'.
"""
sanitized = {}
for section, options in self.as_dict().items():
if section in _SECURE_BLOCKED_SECTIONS: continue
sanitized[section] = {
key: "********" if _SECURE_SENSITIVE_KEY_RE.search(key) else value
for key, value in options.items()
}
return sanitized
In glances/outputs/glances_restful_api.py:
# Line 1294
args_json = self.config.as_dict() if self.args.password else self.config.as_dict_secure()
The [ip] config section documents: public_api (URL), public_username (login), public_password (password).
public_password→ matches "password" → masked ✓public_api→ no match → returned in full (containsuser:pass@in URL) ✗public_username→ no match → returned in full ✗
Impact
- Unauthenticated credential disclosure via
GET /api/4/configorGET /api/4/config/ip as_dict_secure()exists specifically to protect credentials in no-auth mode but fails to maskpublic_usernameand credential-bearing URLs inpublic_api
Prerequisites
- Glances in web server mode without
--password(default, no auth) glances.conf[ip]section withpublic_apicontaining embedded credentials and/orpublic_usernameset
Environment
- Glances latest (Docker:
nicolargo/glances:latest) - Remote Docker lab at
http://10.140.200.102:8080
Reproduction Steps
docker run -d --name glances-test -p 8080:61208 -e GLANCES_OPT='-w' nicolargo/glances:latest
sleep 20
docker exec glances-test sed -i 's|public_api=https://ipv4.ipleak.net/json/|public_api=https://admin:secret123@ipv4.ipleak.net/json/|' /etc/glances/glances.conf
docker exec glances-test sed -i 's|#public_username=<myname>|public_username=myname|' /etc/glances/glances.conf
docker exec glances-test sed -i 's|#public_password=<mysecret>|public_password=mysecret|' /etc/glances/glances.conf
docker restart glances-test
sleep 15
curl -s "$TARGET/api/4/config/ip"
# Returns: {"public_api": "https://admin:secret123@...", "public_username": "myname", "public_password": "********"}
Evidence
See C:/Tools/glances-config-leak-evidence.txt.
Dedup Check
- GHSA-gfc2-9qmw-w7vh covers CORS but NOT value-level credential leak
- No existing GHSA covers
as_dict_secure()value-level filtering gap - 13 published GHSA, none covering this issue
Suggested Remediation
Add "username" and "login" to sensitive key pattern, and check values for embedded credentials in URLs.
Disclosure Timeline
- 2026-07-28: Vulnerability discovered and verified via Docker deployment
Reporter
GitHub username: Todor
The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a low impact on the confidentiality of the information.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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