Data Scientists Dial Back Use of Open Source Code Due to Security Worries
Data scientists, who often choose open source packages without considering security, increasingly face concerns over the unvetted use of those components, new study shows.
Source code reveals how software works, helping security teams identify vulnerabilities, exposed secrets, and unsafe logic before attackers can exploit them.
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Background for this topic.
Source code is the human-readable text programmers write in a language such as Python, Java, or C before it is compiled or interpreted into a running program. It defines the program’s logic, data handling, and interactions with operating systems, networks, and other services. Source code may include application code, scripts, and configuration that controls software behavior.
In security, exposed or improperly protected repositories can disclose credentials, private keys, internal endpoints, or details that help attackers find exploitable flaws. Vulnerabilities may also enter through unsafe coding patterns, outdated dependencies, or malicious changes to code and build pipelines. Defenses include least-privilege repository access, secret scanning, peer review, static analysis, dependency and software-composition checks, and integrity controls for releases. Preserving commit history and build provenance helps investigators determine what changed and whether delivered software matches reviewed source.
Data scientists, who often choose open source packages without considering security, increasingly face concerns over the unvetted use of those components, new study shows.
So is that three or four stars? Take-Two Interactive confirmed on Monday that its Rockstar Games subsidiary has been compromised and confidential data for Grand Theft Auto 6 has been stolen.…
Wondering how you'd handle a data breach report if the worst happened to you? Here's a useful example.
Grand Theft Auto 6 gameplay videos and source code have been leaked after a hacker allegedly breached Rockstar Game's Slack server and Confluence wiki. [...]