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CVE-2026-28480 is an authorization bypass vulnerability in OpenClaw (an npm package) where Telegram allowlist matching incorrectly uses mutable @username values instead of immutable numeric sender IDs for identity verification. All versions of openclaw up to and including 2026.2.13 and clawdbot up to and including 2026.1.24-3 are affected. The vulnerability was published on March 5, 2026, with patches released in version 2026.2.14. It carries a CVSS v3.1 base score of 6.5 (Medium) and a CVSS v4.0 base score of 6.9 (Medium) (GitHub Advisory, Feedly).
The root cause is classified as CWE-290 (Authentication Bypass by Spoofing) and CWE-284 (Improper Access Control). Telegram usernames (@username) are mutable and recyclable — they can be changed by users or reassigned to different accounts — whereas numeric sender IDs are permanent and immutable. The vulnerable code in src/telegram/bot-access.ts performed allowlist matching against both numeric IDs and @username strings, including case-insensitive username comparison. An attacker who acquires a previously allowlisted username (e.g., through Telegram's username recycling mechanism) can send messages to a restricted bot and have them accepted as if they were the original authorized user (GitHub Advisory, Fix Commit e3b432e).
Successful exploitation allows an unauthorized attacker to bypass allowlist-based access controls and interact with OpenClaw-powered Telegram bots as if they were a trusted, allowlisted user. This can result in unauthorized access to restricted bot functions, manipulation of bot behavior, and potential exposure of sensitive data handled by the bot. The confidentiality and integrity impacts are both rated low, with no availability impact, as the attacker gains limited but unauthorized bot interaction capabilities rather than full system compromise (GitHub Advisory, Feedly).
No public proof-of-concept exploit code is known to exist, and there is no evidence of active in-the-wild exploitation at this time. The vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. The EPSS score is approximately 0.028%, reflecting a low probability of near-term exploitation. Exploitation requires the attacker to successfully acquire a Telegram username that was previously allowlisted by a target bot operator, which depends on Telegram's username recycling behavior (Feedly, GitHub Advisory).
dmPolicy: allowlist or groupPolicy: allowlist).@username values are configured in the bot's allowFrom or groupAllowFrom settings. This may be possible through social engineering, leaked configuration files, or observing bot behavior.@username string, granting access to the attacker's account.@username strings (non-numeric entries) in channels.telegram.allowFrom, channels.telegram.groupAllowFrom, or per-group allowFrom fields in openclaw.json; running openclaw security audit on a vulnerable version will flag checkId: channels.telegram.allowFrom.invalid_entries with severity warn.Upgrade OpenClaw to version 2026.2.14 or later, which enforces numeric Telegram sender IDs exclusively for allowlist authorization and rejects @username entries. After upgrading, run openclaw doctor --fix to automatically resolve any existing @username entries in configuration to their corresponding numeric IDs (requires a valid Telegram bot token). Additionally, run openclaw security audit to identify any remaining non-numeric allowlist entries and replace them manually with numeric Telegram user IDs. As an interim measure, audit all allowFrom and groupAllowFrom configuration fields and manually replace any @username values with the corresponding numeric IDs (GitHub Advisory, Fix Commit 9e147f0).
The vulnerability was reported by community contributor @vincentkoc and acknowledged by the OpenClaw maintainer (steipete) in the GitHub security advisory. The fix was bundled alongside several other security hardening changes in the same release, including path traversal and SSRF mitigations, suggesting a broader security review effort. No significant media coverage or notable external researcher commentary has been identified beyond the GitHub advisory and standard vulnerability database entries (GitHub Advisory).
Source: This report was generated using AI
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