pyload: Cross-Site Request Forgery
CVE-2024-22416 is a high-severity cross-site request forgery vulnerability in pyload, with a CVSS 3.1 base score of 8.8 out of 10. It can be exploited remotely over the network by an unauthenticated attacker, but only if a user takes part, for example by opening a link or file. Affected pyload versions: < 0.5.0b3.dev78. The record does not name a fixed version, so check the vendor advisory. There is no confirmed exploitation so far. EPSS estimates a 0.95% chance of exploitation within 30 days, higher than 62% of scored CVEs.
High severity with no evidence of exploitation so far.
What to do
- Update Pyload-ng to 0.5.0b3.dev78 or a later version.
- Read the advisory on github.com for workarounds and exact fixed builds.
- Until you can update, restrict network access to the affected service so it is not reachable from untrusted networks.
- Because the attack needs a user to take part, warn users about unexpected links and files related to this product until it is patched.
Affected products and versions
| Vendor | Product | Affected versions | Fixed in |
|---|---|---|---|
| Pyload | pyload | < 0.5.0b3.dev78 | Not stated |
| Pyload-ng Project | Pyload-ng | before 0.5.0b3.dev78 | 0.5.0b3.dev78 |
Version data comes from the organisation that assigned the CVE. Confirm against the vendor advisory before deciding you are unaffected.
How the severity score breaks down
- Attack vector
- NetworkCan be exploited remotely over a network, including the internet.
- Attack complexity
- LowNo special conditions are needed; the attack works reliably.
- Privileges required
- NoneNo account or login is needed.
- User interaction
- RequiredA user must take an action such as opening a file or link.
- Scope
- UnchangedImpact stays within the vulnerable component.
- Confidentiality
- HighAll data handled by the component can be read.
- Integrity
- HighData or code can be modified at will.
- Availability
- HighThe component can be taken down completely.
Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H. Scored by NVD.
| Scoring system | Score | Severity | Scored by |
|---|---|---|---|
| CVSS 3.1 | 9.6 | Critical | CNA (github.com) |
| CVSS 3.1 | 8.8 | High | NVD |
Official description
pyLoad is a free and open-source Download Manager written in pure Python. The `pyload` API allows any API call to be made using GET requests. Since the session cookie is not set to `SameSite: strict`, this opens the library up to severe attack possibilities via a Cross-Site Request Forgery (CSRF) attack. As a result any API call can be made via a CSRF attack by an unauthenticated user. This issue has been addressed in release `0.5.0b3.dev78`. All users are advised to upgrade.
Source: the CVE record as published by its numbering authority, via NVD and CVE.org.
The underlying weakness: Cross-Site Request Forgery
The web application does not, or cannot, sufficiently verify whether a request was intentionally provided by the user who sent the request, which could have originated from an unauthorized actor.
How developers prevent this class of flaw
- Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid. For example, use anti-CSRF packages such as the OWASP CSRFGuard. Another example is the ESAPI Session Management control, which includes a component for CSRF.
- Ensure that the application is free of cross-site scripting issues (CWE-79), because most CSRF defenses can be bypassed using attacker-controlled script.
- Generate a unique nonce for each form, place the nonce into the form, and verify the nonce upon receipt of the form. Be sure that the nonce is not predictable (CWE-330).
Timeline
- CVE record published.
- CISA published its SSVC assessment (exploitation: none, automatable: yes, technical impact: partial).
- Record last changed materially (score, affected products, status or references).
References
Advisories
- github.com/pyload/pyload/security/advisories/GHSA-pgpj-v85q-h5fmExploit, Third Party Advisory
Patches and release notes
Other vulnerabilities in pyload
- 8.1 High severity
- 9.4 Critical severity
- 7.5 High severity
- 8.7 High severity
- 8.3 High severity
- 8.8 High severity
Recent Cross-Site Request Forgery vulnerabilities
- 8.8 High severity
- 8.1 High severity
- 8.0 High severity
- 8.8 High severity
- 8.8 High severity
- 7.1 High severity
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