OpenstackApplication · Redhat
CVE-2013-1793
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedopenstack-utils openstack-db has insecure password creation
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · low confidenceThe openstack-db component of openstack-utils implements insecure password creation, likely using weak or predictable random number generation for database passwords instead of cryptographically secure methods.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE data
OpenstackApplication
= 2.1= 3.0= 4.0
Openstack EssexApplication
all versionsCVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Network
- Complexity
- Low
- Privileges
- None
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- None
- Availability
- None
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
-
Verify openstack-utils package installationCheck if openstack-utils is installed on the system using the package manager (e.g., rpm -qa | grep openstack-utils or dpkg -l | grep openstack-utils)Affected if The openstack-utils package is installed and contains the openstack-db component
-
Locate the openstack-db script/moduleSearch for files named openstack-db or scripts that handle database password creation within the openstack-utils installation (typically in /usr/bin, /usr/local/bin, or the package library path)Affected if The openstack-db component exists on the system and has been used for database password generation
-
Inspect password generation methodExamine the openstack-db source code or script to identify the random number generation method used for creating passwords. Look for calls to random(), rand(), or similar non-cryptographic functions versus os.urandom or secrets moduleAffected if The code uses weak or predictable random number generation (e.g., random(), randint()) instead of cryptographically secure methods like os.urandom or secrets
-
Check for generated database passwordsReview any database configuration files, initialization scripts, or password storage locations that may contain passwords created by openstack-dbAffected if Database passwords were generated using the vulnerable openstack-db component and remain in use
-
Verify OpenStack versionConfirm the installed version of Red Hat OpenStack (2.1, 3.0, 4.0) or confirm use of Red Hat OpenStack Essex by checking the installed packages or OS version (e.g., rpm -qa | grep -i openstack)Affected if The system runs a Red Hat OpenStack version 2.1, 3.0, 4.0, or any Essex release that includes the vulnerable openstack-utils package
The environment is affected if openstack-utils with the openstack-db component is installed and its password generation code uses weak random number generation rather than cryptographically secure methods.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
From vendor dataReplace any weak random number generation with cryptographically secure random generators (e.g., os.urandom, secrets module) and enforce minimum password length and complexity requirements.
Fix this in Openstack
Scoped from the published advisory
- Consultation2.0 h
- Implementation4.0 h
- Testing3.0 h
- Review / QA1.0 h
An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $2,800.
Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2013-1793 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2013-1793 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
Be the first to add a field note for this CVE — a mitigation you’ve verified, a version caveat, or a link to a working fix. Sign in above to contribute.
A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.
- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
- No spam, self-promotion, credentials, or personal data