Amazon Technologies, Inc.

Alun Jones

Jon Arron McClintock

Narasimha Rao Lakkakula

Jesper Mikael Johansson

George Nikolaos Stathakopoulos

Scott Gerard Carmack

William Frederick Kruse

Sachin Purushottam Joglekar

Thibault Candebat

Sunu Aby Mathew

Shailendra Batra

Sandeep Sanjay Patil

Disclosed are various embodiments for tracking developer behavior with respect to software analysis tools. In one embodiment, a security analysis is performed upon a first revision of a program, where the security analysis is based at least in part on a plurality of rules. A first security issue found in the security analysis upon the first revision of the program is identified. The security analysis is performed upon a second revision of the program. A second security issue found in the security analysis upon the second revision of the program is identified. The rules are updated based at least in part on whether the first security issue is corrected in the second revision as determined based at least in part on a comparison of the first security issue to the second security issue.

Tracking developer behavior with respect to software analysis tools

Disclosed are various embodiments for identifying characteristics of developers of problematic software. Report data generated by a security analysis tool is received, which is based at least in part on a security analysis of a program or an operational configuration. The report data indicates one or more security issues identified in the program or the operational configuration. A user is identified who is responsible for at least a threshold impact of the security issue(s). Coding or configuration characteristics associated with the user are then determined.

Identifying characteristics of problematic developers of software

Adaptive methods and systems are provided to scan websites/Web applications for vulnerabilities. The methods and systems identify a reference string in a first response web page and an authorized context in which the reference string appears. The first response web page is generated at least in part based on the reference string. An escape attempt input is determined based on the reference string and authorized context, and the escape attempt input is present to the website. The methods and systems identify an escape attempt input in a second response web page and a candidate context in which the escape attempt input appears, wherein the second response web page is generated at least in part based on the escape attempt input. The methods and systems determine when the escape attempt input appears in an un-authorized context in the second response web page. The adaptive methods and systems herein, efficiently identify website vulnerabilities, and thus may be run frequently, thereby resulting in improved security without excessively drawing upon website resources.

Adaptive web application vulnerability scanner

Disclosed are various embodiments for tracking developer behavior with respect to software analysis tools. In a first embodiment, issues with a first revision of a program are identified with an analysis tool. The configuration of the analysis tool may be updated based at least in part on a status of the issues in the second revision of the program. In a second embodiment, an analysis tool identifies issues with a program. A developer responsible for the issues is identified. A coding characteristic associated with the developer is then determined.

Techniques are described for automatically determining application composition and application ownership of an application that may include a plurality of files deployed to a plurality of host devices. The determination of application composition may be based on analyzing various types of metadata that may provide evidence of associations between deployed files, such as metadata describing the deployment of files to host devices, metadata describing the files tracked within a source control system, or other types of metadata. The determination of application ownership may also be based on analyzing the various types of metadata that provide evidence of associations between files and individuals or groups of individuals within an organization.

Determining application composition and ownership

An accessory device or rechargeable energy pack includes a rechargeable battery or other energy storage that is rechargeable by way of an external source. Energy stored within the accessory device may be used recharge one or more other load devices, such as portable computers, smart phones, or other apparatus. The accessory device may be configured to estimate operating times for such various load devices based on their own respective, stored energy levels, and to communicate those estimates to the load devices or other entities. The accessory device may control an amount of energy delivered to a load device based on estimated energy consumption for a future period of time. Operating times for respective load devices may be increased or managed by way of operations and resources of the accessory device.

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Woodinville, WA, United States of America

Alun Jones