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CVE-2022-41956

22
FAUCET Score

CVE-2022-41956 is a file disclosure vulnerability in Autolab, a course management service, affecting versions prior to 2.10.0. This flaw allows authenticated users to submit assignments using paths outside their designated submission directory, subsequently enabling them to view the contents of arbitrary files on the server. With a CVSS score of 6.5 (Medium), the vulnerability has a network attack vector and low attack complexity, potentially leading to high confidentiality impact. There is currently no evidence of active exploitation, publicly available exploit code, or significant community discussion surrounding this CVE.

Impacted Technologies

VendorProductVersion(s)CPE
< 2.10.0CPE matchmatch criteria
cpe:2.3:a:autolabproject:autolab:*:*:*:*:*:*:*:*

CVSS Data

CVSS version used by this source: 3.1

6.5MEDIUM

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
NONE
Availability Impact
NONE
Exploitability Score
2.8
Impact Score
3.6
CvssVersion
3.1

Exploit Intelligence

EPSS Score
1.77%
Probability of exploitation in next 30 days
EPSS Percentile
75.8%
Percentile rank of EPSS score among Peer Group
As of 2026-07-27
Model: v2026.06.15
This CVE's current EPSS score of 0.0177 is in the 89th percentile among its peer group of 21,958 CVEs.

Social Chatter

The average CVE in this peer group has 0.0 Twitter, 0.0 Reddit, 0.1 Bluesky, 0.0 Mastodon, and 0.1 GitHub mentions.

Media Mentions

No media coverage found for this CVE.

The average CVE in this peer group has 0.0 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.

Remediation

Remediation records are not available for this CVE.

References

github.com / autolab/Autolab/security/advisories/GHSA-g7x7-mgrv-f24x
Third Party Advisory
securitylab.github.com / advisories/GHSL-2022-100_Autolab
stackhawk.com / blog/rails-path-traversal-guide-examples-and-prevention
Third Party Advisory