parallel-enrichment

clawhub:parallel-enrichment

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C
70/100

First Seen

Feb 18, 2026

Last Scanned

Feb 22, 2026

Findings

4

Score

70/100

HIGH 2
LOW 2

Findings (4)

HIGH
Curl or wget piped to shell
L238

Detects downloading scripts piped directly to a shell interpreter

curl -fsSL https://parallel.ai/install.sh | bash
FIX

Download the script first, inspect it, verify its checksum, then run it. Do not pipe curl/wget output directly to sh/bash. Prefer package manager installs.

FP?

Likely FP if the download is from a well-known installer domain (e.g., brew.sh, rustup.rs), though this pattern is inherently risky even with trusted sources.

HIGH
Download-and-execute
L238

Detects patterns of downloading and piping to shell execution

curl -fsSL https://parallel.ai/install.sh | bash
FIX

Download the file first, verify its integrity (checksum, signature), inspect it, then run it. Prefer package managers over raw downloads. Never fetch-and-run in one step.

FP?

Likely FP if the target is a well-known installer (e.g., rustup, Homebrew) from its canonical HTTPS domain, though the pattern is inherently risky.

LOW
Runtime URL controlling behavior
L234

Detects URLs fetched at runtime that control or influence agent behavior without pinning

Get an API key at [parallel.ai](https:// + config
FIX

Avoid loading configuration or behavior-controlling content from runtime URLs. Bundle required configurations locally or pin remote config to versioned, integrity-verified endpoints.

FP?

Likely FP if the URL in the match is a documentation link or example URL (e.g., example.com) rather than an actual runtime-fetched configuration endpoint.

LOW
Chained shell command execution
L238

Detects chained commands using shell operators with dangerous operations

curl -fsSL https://parallel.ai/install.sh | bash
FIX

Break chained commands into discrete, individually validated steps. Avoid piping untrusted output directly into a shell interpreter.

FP?

Likely FP if the matched text is a documentation example showing a common installer one-liner for a well-known tool with a canonical URL.