VulnerabilityPublished 26 Sep 2026Updated 30 Sep 2026

CVE-2026-100613: Cap-go capgo.app · Incorrect Authorization

Affects Cap-go capgo.appSource CVE Database V5

Compare

Not known to be exploited · CVSS 6.0 Medium.

Data as of 9 Nov 2026, 23:24 UTC

CVSS 4.0 base score

6.0Medium

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.2% chance of exploitation in 30 days – higher than 16% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N

Attack Vector: Network
Attack Complexity: Low
Attack Requirements: Present
Privileges Required: Low
User Interaction: None
Vulnerable system confidentiality: None
Vulnerable system integrity: High
Vulnerable system availability: None
Subsequent system confidentiality: None
Subsequent system integrity: None
Subsequent system availability: None

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable system is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: The attacker must take no measurable action to exploit the vulnerability. The attack requires no target-specific circumvention to exploit the vulnerability. An attacker can expect repeatable success against the vulnerable system.
Attack Requirements: Present: The successful attack depends on the presence of specific deployment and execution conditions of the vulnerable system that enable the attack. These include: a race condition must be won to successfully exploit the vulnerability (the successfulness of the attack is conditioned on execution conditions that are not under full control of the attacker, or the attack may need to be launched multiple times against a single target before being successful); the attacker must inject themselves into the logical network path between the target and the resource requested by the victim (e.g. vulnerabilities requiring an on-path attacker).
Privileges Required: Low: The attacker requires privileges that provide basic capabilities that are typically limited to settings and resources owned by a single low-privileged user. Alternatively, an attacker with Low privileges has the ability to access only non-sensitive resources.
User Interaction: None: The vulnerable system can be exploited without interaction from any human user, other than the attacker.
Vulnerable system confidentiality: None: There is no loss of confidentiality within the Vulnerable System.
Vulnerable system integrity: High: There is a total loss of integrity, or a complete loss of protection. For example, the attacker is able to modify any/all files protected by the vulnerable system. Alternatively, only some files can be modified, but malicious modification would present a direct, serious consequence to the vulnerable system.
Vulnerable system availability: None: There is no impact to availability within the Vulnerable System.
Subsequent system confidentiality: None: There is no loss of confidentiality within the Subsequent System or all confidentiality impact is constrained to the Vulnerable System.
Subsequent system integrity: None: There is no loss of integrity within the Subsequent System or all integrity impact is constrained to the Vulnerable System.
Subsequent system availability: None: There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable System.

Definitions: FIRST CVSS v4.0 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 26 Sep 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 9 Nov 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponized: A Metasploit exploit module or Exploit-DB entry exists (Metasploit scanner modules do not count), or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Affected software

Product	Affected	Fixed in
Cap-gocapgo.app	Affected All versions	Fixed in–

AI-suggested

Users should monitor vendor advisories for updates. The previously proposed fix does not fully address the issue as it does not remove stale overrides after app transfer. Until a fix is released, caution is advised when transferring apps between organizations, and review of channel permission overrides post-transfer is recommended.

Description

capgo.app is an over-the-air (OTA) update platform for Capacitor apps. In all versions up to and including the current release (no patch available at time of publication), the `transfer_app()` database function transfers an app, its channels, versions and related records to a destination organization without deleting or revalidating existing rows in `channel_permission_overrides`. As a result, a user who legitimately held a channel permission override while a member of the source organization retains that override after the transfer, even though they have no membership and no RBAC binding in the destination organization. Using their own authenticated JWT against the PostgREST API, such a former member can modify the destination-owned channel to point at a different bundle, causing the /updates endpoint to serve an attacker-selected application version to devices. The previously proposed fix for GHSA-626c-p6fq-3whq (PR #3093), which validates organization membership when an override is created or updated, does not remove overrides that became stale as a result of an app transfer.

Impact

An attacker who was a member of the source organization and had channel permission overrides can retain those overrides after an app transfer to a new organization. This allows the attacker to modify channels in the destination organization and cause devices to receive attacker-selected application versions via the /updates endpoint. This undermines the integrity of the update mechanism and could lead to distribution of malicious app versions.

Summary

In capgo.app, the transfer_app() function transfers an app and its related data to a destination organization but fails to delete or revalidate existing channel_permission_overrides. Consequently, users who had channel permission overrides in the source organization retain these overrides after the transfer, despite lacking membership or RBAC bindings in the destination organization. Such users can use their authenticated JWT with the PostgREST API to modify destination-owned channels to point to different bundles, causing the /updates endpoint to serve malicious app versions. A previously proposed fix addressed validation on override creation or update but did not remove stale overrides resulting from app transfers.

References

Community reviews

Loading reviews…

Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 3 Oct 2026, 16:12 UTC

Technical details

References

Community reviews

Related threats