Path Traversal in Sparkjava Spark
CVE-2016-9177
Directory traversal vulnerability in Spark 2.5 allows remote attackers to read arbitrary files via a .. (dot dot) in the URI.
Vulnerability class: Path Traversal (Directory Traversal)
Published · last modified .
CVSS v3 metric
CVSS v3 base score 7.5 (High). Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N.
EPSS exploit prediction
EPSS: 0.051 (92.1th percentile), scored .
Low probability of exploitation in the next 30 days, but still tracked. 92nd percentile — 92.1% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.051 · newest: 0.051 · change: 0.000
Affected products
Weakness classification (CWE)
Public proof-of-concept exploits
References
- access.redhat.com/errata/RHSA-2017:0868 (vendor-advisory)
- www.securityfocus.com/bid/94218 (VDB Entry, Third Party Advisory, vdb-entry)
- github.com/perwendel/spark/issues/700 (Patch, Third Party Advisory, Issue Tracking)
- seclists.org/fulldisclosure/2016/Nov/13 (Exploit, Mailing List, Third Party Advisory)
Frequently asked questions
- What is CVE-2016-9177?
- CVE-2016-9177 is a high-severity vulnerability in Sparkjava Spark, classified under Path Traversal. CVSS score: 7.5/10. Published 2016-11-04.
- How severe is CVE-2016-9177?
- High severity. CVSS v3 base score is 7.5 out of 10.
- Is CVE-2016-9177 known to be exploited?
- 5 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.