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TH16128

Detected presence of software components that can detect common crypto tokens.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
passmediumhighNoneNone

About the issue​

Crypto tokens are versatile digital assets used within the blockchain ecosystem. Crypto tokens are used to represent a wide range of values, rights, or utilities. They play a crucial role in decentralized finance (DeFi), governance, and other blockchain-based applications. Most crypto tokens are built on existing blockchains using smart contracts. A smart contract is a self-executing contract with the terms of the agreement directly written as lines of code. These contracts automatically execute and enforce themselves when predetermined conditions are met, without the need for intermediaries. For this reason, attackers often aim to steal crypto tokens from the machines they infect. Once stolen, crypto tokens are difficult to trace or recover due to the decentralized and pseudonymous nature of blockchain technology. The irreversibility of blockchain transactions means that once the tokens are transferred to the another crypto wallet, they are effectively gone, making them an attractive target for financially motivated actors. While presence of regex code that detects crypto tokens does not imply malicious intent, all of its uses in a software package should be documented and approved. Only select applications should consider working with crypto tokens.

How to resolve the issue​

  • Investigate reported detections as indicators of software tampering.
  • Consider rewriting the flagged code without using the marked behaviors.

Incidence statistics​

ReversingLabs periodically collects and analyzes the contents of popular software package repositories for threat research purposes. Analysis results are used to calculate incidence statistics for issues (policy violations) that Spectra Assure can detect in software packages.

This section is updated when new data becomes available.

Total amount of packages analyzed

  • RubyGems: 183K
  • Nuget: 644K
  • PyPi: 628K
  • NPM: 3.72M

Total detections per repository

For every repository, the chart shows the number of packages that triggered the software assurance policy. In other words, it shows how many packages in each package repository were found to have the specific issue described on this page. This information helps you understand how common the issue is across different software communities.

If a repository is absent from the chart, that means none of the packages in that repository triggered this policy during analysis, or the policy was not used during analysis.

Distribution of total detections by project popularity

For every repository, the chart shows how many of the total detections belong to the Top 100 (1-100), Top 1000 (101-1000) and Top 10 000 (1001-10 000) most downloaded projects. This information helps you understand the impact of the issue within each community, making it clearer when the issue affects the most popular projects.

If the chart shows zero values for all of the top project groups, that means all detections were in unranked projects (lower than 10 000 on the list of most downloaded projects).