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CVE-2015-7786

17
FAUCET Score

CVE-2015-7786 describes a cross-site scripting (XSS) vulnerability within the NTT DATA Smart Sourcing JavaScript module for Web Analytics Service, affecting versions from 2003-11-26 through 2013-07-09. This medium-severity vulnerability (CVSS 6.1) allows remote attackers to inject arbitrary web script or HTML through unspecified vectors, requiring user interaction but with low impact on confidentiality and integrity. There is no evidence of active exploitation, public exploit code (Metasploit, Nuclei, ExploitDB), or significant community discussion or media coverage surrounding this CVE.

Impacted Technologies

VendorProductVersion(s)CPE
All Versions ImpactedCPE matchmatch criteria
cpe:2.3:a:nttdata:web_analytics_service:*:*:*:*:*:*:*:*

CVSS Data

CVSS version used by this source: 3.0

6.1MEDIUM

CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N

Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
REQUIRED
Scope
CHANGED
Confidentiality Impact
LOW
Integrity Impact
LOW
Availability Impact
NONE
Exploitability Score
2.8
Impact Score
2.7
CvssVersion
3.0

Exploit Intelligence

EPSS Score
1.02%
Probability of exploitation in next 30 days
EPSS Percentile
59.8%
Percentile rank of EPSS score among Peer Group
As of 2026-07-27
Model: v2026.06.15
This CVE's current EPSS score of 0.0102 is in the 72nd percentile among its peer group of 26,220 CVEs.

Social Chatter

No social media mentions found for this CVE.

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 0.1 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.

Remediation

Remediation records are not available for this CVE.

References

jvndb.jvn.jp / jvndb/JVNDB-2015-000196
Vendor Advisory
jvn.jp / en/jp/JVN70083512/995570/index.html
jvn.jp / en/jp/JVN70083512/index.html
Vendor Advisory
nttdata-smart.co.jp / information/2015/000040.html
Vendor Advisory