Security Vulnerabilities
IBM DataStage on Cloud Pak for Data 5.4.0.0 could allow a remote authenticated attacker to execute arbitrary code due to improper neutralization of special elements used in an OS command.
CVSS Score
8.8
EPSS Score
0.006
Published
2026-09-22
IBM DataStage on Cloud Pak for Data 5.4.0.0 could allow a remote authenticated attacker to execute arbitrary commands due to improper neutralization of special elements used in an OS command.
CVSS Score
8.8
EPSS Score
0.006
Published
2026-09-22
A stored cross-site scripting (XSS) vulnerability was identified in GitHub Enterprise Server that allowed an authenticated attacker to inject arbitrary HTML attributes into rendered Markdown because the Markdown rendering pipeline rewrote quote characters in already-sanitized HTML without re-sanitizing the result. Crafted Markdown could abuse same-origin JavaScript gadgets to bypass Content Security Policy and gain control of the page DOM when viewed by another user. Successful exploitation could allow an attacker to read content visible to the victim, extract embedded CSRF tokens, perform state-changing actions as the victim, and exfiltrate data through same-origin writes. The payload could also propagate to repositories and organizations where the victim had write access. This vulnerability affected supported GitHub Enterprise Server releases in the 3.17, 3.18, 3.19, 3.20, 3.21, and 3.22 series and was fixed in versions 3.22.1, 3.21.6, 3.20.8, 3.19.12, 3.18.15, and 3.17.21. This vulnerability was reported via the GitHub Bug Bounty program.
CVSS Score
7.4
EPSS Score
0.002
Published
2026-09-22
A server-side request forgery (SSRF) vulnerability was identified in the notebook viewer of GitHub Enterprise Server. The notebook viewer validated the scheme and host of a user-supplied URL but did not validate the port, allowing requests to be directed to internal services listening on other ports of the same appliance. Response bodies were not returned to the requester, but response timing acted as an oracle that allowed instance secrets to be extracted character by character. An extracted secret could then be used in a separate interaction with an internal service to obtain remote code execution on the appliance. Exploitation required network access to the instance and was unauthenticated when private mode was disabled, or required any authenticated user when private mode was enabled. This vulnerability affected GitHub Enterprise Server versions 3.17 through 3.22 and was fixed in versions 3.22.1, 3.21.6, 3.20.8, 3.19.12, 3.18.15, and 3.17.21. This vulnerability was reported through the GitHub Bug Bounty program.
CVSS Score
9.3
EPSS Score
0.007
Published
2026-09-22
An authorization bypass vulnerability was identified in GitHub Enterprise Server that allowed any authenticated user of the instance to read the raw diff or patch of pull requests in private repositories without authorization. Access tokens for raw pull request diffs and patches were scoped to the repository name and pull request number rather than to a globally unique repository identifier, so an attacker who created a repository and pull request matching a target's repository name and pull request number could use a token for their own repository to retrieve the private pull request's contents. Exploitation required the attacker to know the target repository's name and a valid pull request number. This vulnerability affected all versions of GitHub Enterprise Server prior to 3.22 and was fixed in versions 3.17.21, 3.18.15, 3.19.12, 3.20.8, and 3.21.6. This vulnerability was reported via the GitHub Bug Bounty program.
CVSS Score
6.0
EPSS Score
0.003
Published
2026-09-22
A vulnerability exists in the Analytics and Location Engine (ALE) that may allow for unauthorized access, information disclosure, or denial of service. An unauthenticated remote attacker could exploit the vulnerable system by sending specially crafted input or intercepting network communications. Successful exploitation could result in the disclosure of sensitive information, bypass of security controls, or a denial of service condition on the affected system.
CVSS Score
7.3
EPSS Score
0.004
Published
2026-09-22
A vulnerability exists in the maintenance restore functionality of Analytics and Location Engine (ALE). Successful exploitation of this vulnerability could allow an authenticated remote attacker to gain unauthorized access to the file system with root privileges, potentially resulting in full system compromise.
CVSS Score
7.2
EPSS Score
0.006
Published
2026-09-22
Vulnerabilities in the Analytics and Location Engine web interface allows remote authenticated users to run arbitrary commands on the underlying host. A successful exploit could allow an attacker to execute arbitrary commands as root on the underlying operating system leading to complete system compromise.
CVSS Score
7.2
EPSS Score
0.008
Published
2026-09-22
A vulnerability in an administrative component of Analytics and Location Engine (ALE) is vulnerable to a man-in-the-middle (MitM) attack. Successful exploitation of this vulnerability could allow an unauthenticated remote attacker to execute arbitrary code with root privileges on the affected appliance.
CVSS Score
7.1
EPSS Score
0.003
Published
2026-09-22
Multiple vulnerabilities exist in the Analytics and Location Engine (ALE) that may allow for unauthorized access or denial of service. An unauthenticated remote attacker could exploit these vulnerabilities by sending specially crafted input or leveraging improper security configurations. Successful exploitation could result in a denial of service condition or unauthorized access to sensitive information.
CVSS Score
5.3
EPSS Score
0.005
Published
2026-09-22