Piston vulnerabilitiesRanked by how likely they are to be used.

Product1 versions
The short answer

Piston is made by Djangoproject. We track 1 published vulnerability in it, across 1 version. None of them is on the list of flaws known to be exploited today. If you run Piston, keep it on a version the vendor still supports.

See the riskiest flaws

We keep watching the known-exploited list.

Known exploited

Which Piston vulnerabilities are being exploited?

This is the list that matters most: flaws criminals are using now.

None of Piston's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.

Exploit likelihood

Which Piston flaws are most likely to be used?

Ranked by the latest exploit-likelihood forecast: the chance each flaw is used in an attack in the next 30 days. A high severity score on its own doesn't tell you that. Flaws shared by many other makers' products are left out.

50% or more10% to 49%Under 10%
  1. 2.4%

    emitters.py in Django Piston before 0.2.3 and 0.2.x before 0.2.2.1 does not properly deserialize YAML data, which allows remote attackers to execute arbitrary Python code via vectors related to the yaml.load method.

    CVSS7.5Published27 Oct 2014
Precursor Intelligence

Running Piston? We'll keep checking.

Looking flaws up one at a time doesn't scale. Tell us what you run once, and we tell you which flaws matter to you, in what order, and keep watching for new ones.

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  2. We match it to every flawOver 400,000 published flaws, checked against your list.
  3. Ranked by real-world riskA 0 to 100 score, led by evidence criminals are using it.
  4. Told as soon as we knowAn alert by email, in the app or by webhook to your own tools.

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FAQ

Common questions, answered plainly.

Something else? Talk to the team →

We track 1 published vulnerability listed under the name Piston, across 1 version.

None of Piston's vulnerabilities is on the list of flaws known to be exploited today.

Create a Precursor Intelligence account and track Piston. We match it against every published flaw, give each one a risk score from 0 to 100 and keep watching, so you hear about new ones as soon as we know, by email, in the app or by webhook.