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CVE-2026-123816pyload improper authentication

Schedule itHigh8.1EPSS not scored yet

CVE-2026-123816 is a improper authentication in pyload, rated high (8.1 on CVSS 3.1).

Why this priority: High severity, with no exploitation signal yet.

Published · Updated · NVD status: Deferred

What it is

The software does not prove who a caller is, so an attacker can pass as someone else.

How it is reached

An attacker can exploit it over the network, without an account, and nobody has to click anything. Success also depends on conditions the attacker does not fully control.

What an attacker gains

A successful attack can read the data it protects, change data or behaviour and take it offline. In practice, this kind of flaw lets an attacker act as a signed-in user, or an administrator, without valid credentials.

Is it being exploited?

CISA's SSVC assessment notes a public proof of concept.

What to do

  1. Upgrade pyload to 0.5.0b3.dev101 or later.
  2. Until it is patched, keep it off the internet or behind a VPN, allowlist or authenticating proxy.

Description from NVD

pyLoad is a free and open-source download manager written in Python. Prior to 0.5.0b3.dev101, Api.check_apikey caches successful validation in self._apikey_cache using only the attacker-controlled key_id. After a legitimate key populates the cache, a forged API key with the same key_id reaches the cache-hit path without comparing apikey[-43:] to the stored hash through hmac.compare_digest. Key identifiers are small sequential integers, so an unauthenticated remote attacker can enumerate an active identifier and inherit the cached key owner's permissions during the 300-second cache lifetime. This issue is fixed in version 0.5.0b3.dev101.

What this means for your architecture.

A CVE names a product. Whether it matters depends on where that product sits in your systems: what reaches it, which trust boundary it guards and what it can reach once compromised. Veriom maps your components, their relationships and your trust boundaries from your code, cloud and delivery evidence, so you can see where a component like this sits. The radar itself does not look at your systems.

Components it touches

  • Sign-in, session and token handling. The flaw sits between anonymous callers and authenticated sessions.
  • Identity providers and SSO. The flaw sits between anonymous callers and authenticated sessions.

Trust boundaries in play

  • Internet-facing entry points. No account is needed. Any instance reachable from outside your perimeter, through a load balancer, gateway, VPN or exposed admin port, is in scope.
  • Between anonymous callers and authenticated sessions. An attacker who crosses it can act as a signed-in user, or an administrator, without valid credentials.

Questions to answer about your own systems

  • Where does pyload run in your systems, and at which version?
  • Which of those instances can be reached from the internet or partner networks?
  • What can it reach once compromised: which data stores, secrets and services?

Sources

  • CVE records and CVSS scores from the NVD CVE API. This product uses the NVD API but is not endorsed or certified by the NVD.
  • Exploitation status from CISA’s Known Exploited Vulnerabilities catalog.
  • Exploit likelihood from FIRST’s Exploit Prediction Scoring System (EPSS), refreshed daily.
  • Explanations are written by Veriom from fixed templates over each record’s data, not by a person reviewing each CVE. Descriptions are quoted from the records as published.