Low-code AI platforms Flowise and Dify show significant internet exposure

·3 views

A cybersecurity scan conducted via ZoomEye on September 28, 2026, identified 40,653 internet-facing instances of Flowise and 10,860 instances of Dify. Both are low-code platforms used to build applications on top of language models. Their web interfaces allow users to assemble workflows using prompts, tools, and data sources, and they store API keys and credentials internally. These platforms are often deployed publicly for evaluation and then kept as production instances, sometimes without authentication enabled. The stored credentials, which can include billable model provider keys and internal document access, make this exposure significant.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

New API Aggregates Israeli Used Car Data from Multiple Public Registers

A developer has consolidated disparate Israeli government vehicle information into a unified API tool. The service pulls data from public registries on roadworthiness, recalls, and leasing history, which are normally scattered across multiple Hebrew-language databases. Users can submit a list of license plates to receive a structured vehicle history report through one of two paid Apify Actors. The independent tool does not provide owner identity, accident history, or lien information, as that data is not published by the government.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Rotating S3 URLs cause exponential Vercel image optimization costs

A platform team received a billing alert showing their Vercel image optimization usage had surged from a 50,000 monthly limit to 2.3 million source images processed in a single day. The spike coincided with the launch of a new product gallery page, but logs ruled out external scrapers or flawed page rendering as the cause. Investigation revealed the issue stemmed from the use of S3 presigned URLs, which generate a unique date and signature parameter with each request. Vercel's image optimizer treats each unique URL as a new source image, bypassing its cache and causing repeated processing of identical files.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Explaining Why Rust's Compiled Object Files Still Require a Linker

Compiling Rust code produces object files containing machine code and data. The linker is still required to combine these files into an executable, despite the presence of machine code. This is because object files contain unresolved symbols and relocations that reference external functions or data. The linker resolves these references by connecting symbols to their actual addresses. Without linking, the CPU cannot execute the code as these references remain undetermined.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Meta Muse case shows how malicious web content can hijack AI agents

Indirect prompt injection is a security flaw where attackers embed malicious instructions into data an AI agent consumes, such as web pages or documents. Unlike a traditional program that treats this as inert data, an AI agent interprets the content as language and may act on hidden commands. This can lead to unauthorized actions like accessing private files or sending data externally. The Meta Muse security architecture case study highlights the need for systems to treat all external data as untrusted by default.

0 comments Read more at DEV Community