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@fedify/fedify has Improper Authentication and Incorrect Authorization

High severity GitHub Reviewed Published Aug 8, 2025 in fedify-dev/fedify • Updated Aug 8, 2025

Package

npm @fedify/fedify (npm)

Affected versions

< 1.3.20
>= 1.4.0-dev.585, < 1.4.13
>= 1.5.0-dev.636, < 1.5.5
>= 1.6.0-dev.754, < 1.6.8
>= 1.7.0-pr.251.885, < 1.7.9
>= 1.8.0-dev.909, < 1.8.5

Patched versions

1.3.20
1.4.13
1.5.5
1.6.8
1.7.9
1.8.5

Description

Summary

An authentication bypass vulnerability allows any unauthenticated attacker to impersonate any ActivityPub actor by sending forged activities signed with their own keys. Activities are processed before verifying the signing key belongs to the claimed actor, enabling complete actor impersonation across all Fedify instances

Details

The vulnerability exists in handleInboxInternal function in fedify/federation/handler.ts. The critical flaw is in the order of operations:

  1. Line 1712: routeActivity() is called first, which processes the activity (either immediately or by adding to queue)
  2. Line 1730: Authentication check (doesActorOwnKey) happens AFTER processing
  // fedify/federation/handler.ts:1712-1750
  const routeResult = await routeActivity({  // ← Activity processed here
    context: ctx,
    json,
    activity,
    recipient,
    inboxListeners,
    inboxContextFactory,
    inboxErrorHandler,
    kv,
    kvPrefixes,
    queue,
    span,
    tracerProvider,
  });

  if (
    httpSigKey != null && !await doesActorOwnKey(activity, httpSigKey, ctx)  // ← Auth check too late
  ) {
    // Returns 401, but activity already processed
    return new Response("The signer and the actor do not match.", {
      status: 401,
      headers: { "Content-Type": "text/plain; charset=utf-8" },
    });
  }

By the time the 401 response is returned, the malicious activity has already been processed or queued.

PoC

  1. Create an activity claiming to be from any actor:
  const maliciousActivity = {
    "@context": "https://www.w3.org/ns/activitystreams",
    "type": "Create",
    "actor": "https://victim.example.com/users/alice",  // Impersonating victim
    "object": {
      "type": "Note",
      "content": "This is a forged message!"
    }
  }
  1. Sign the HTTP request with attacker's key (not the victim's):
  // Sign with attacker's key: https://attacker.com/users/eve#main-key
  const signedRequest = await signRequest(request, attackerPrivateKey, attackerKeyId);
  1. Send to any Fedify inbox - the activity will be processed despite the key mismatch.

Impact

Type: Authentication Bypass / Actor Impersonation

Who is impacted: All Fedify instances and their users

Consequences: Allows complete impersonation of any ActivityPub actor, enabling:

  • Sending fake posts/messages as any user
  • Creating/removing follows as any user
  • Boosting/sharing content as any user
  • Complete compromise of federation trust model

The vulnerability affects all Fedify instances but does not propagate to other ActivityPub implementations (Mastodon, etc.) which properly validate before processing.

References

@dahlia dahlia published to fedify-dev/fedify Aug 8, 2025
Published to the GitHub Advisory Database Aug 8, 2025
Reviewed Aug 8, 2025
Last updated Aug 8, 2025

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity High
Availability None
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N

EPSS score

Weaknesses

Improper Authentication

When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. Learn more on MITRE.

Incorrect Authorization

The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions. Learn more on MITRE.

CVE ID

CVE-2025-54888

GHSA ID

GHSA-6jcc-xgcr-q3h4

Source code

Credits

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