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CVSS: 9.8 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H 🐛 CWE-287
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2026-21582

CVE-2026-21582 Vulnerability in Atlassian
📅 PUBLISHED: 2026-08-18 00:00 UTC 🔄 UPDATED: 2026-10-14 14:03 UTC
[ ZERO-DAY / UNPATCHED ] [ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.46%
👁️
0.46% probability
11.5× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1190
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
VULNERABLE: UNKNOWN / CHECK VENDOR
CVSS VECTOR BREAKDOWN 9.8
AV: N Attack Vector Network
AC: L Attack Complexity Low
PR: N Privileges Required None
UI: N User Interaction None
S: U Scope Unchanged
C: H Confidentiality High
I: H Integrity High
A: H Availability High
9.8
THREAT LEVEL
INTEL SOURCES NVD EPSS HOW WE SCORE →
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2026-21582 is a High severity Broken Authentication & Session Management (BASM) vulnerability affecting Atlassian Crowd Data Center, introduced in version 7.2.1. The flaw, carrying a CVSS score of 8.8, allows an unauthenticated attacker to perform actions as another user, effectively bypassing authentication controls on the target instance. Organizations running Crowd Data Center 7.2.x prior to 7.2.2 are affected and should prioritize upgrading to the fixed release.

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›Exploit & PoC — poc_status, poc_url, has_exploit. Not in NVD.
›Shodan dorks — ready-made queries to find exposed vulnerable systems
›Detection rules — YARA · Wazuh · Elastic (all plans) · Sigma (Pro)
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Technical Analysis

CVE-2026-21582 falls under the Broken Authentication & Session Management (BASM) vulnerability class, corresponding to CWE-287 (Improper Authentication). The NVD description confirms that the vulnerability was introduced in Crowd Data Center version 7.2.1 and is remediated in version 7.2.2, indicating a significant authentication logic flaw that was accidentally introduced during the 7.2.1 release cycle.

The vulnerability mechanism, while not fully detailed in the public description, falls into a well-understood vulnerability class. BASM vulnerabilities typically arise from one of several root causes: improper session token handling, flawed authentication state validation, incorrect user context binding, or incomplete access control checks during the authentication workflow. In this case, the ability for an unauthenticated attacker to perform actions as another user suggests that the authentication verification step can be bypassed or satisfied through crafted requests.

Attack surface analysis: The vulnerability is remotely exploitable over the network, requires no authentication, no user interaction, and no special privileges. The CVSS score of 8.8 (High) indicates high confidentiality, integrity, and availability impact. Atlassian Crowd Data Center is an identity management and single sign-on (SSO) platform, making this an attractive target for attackers seeking to compromise centralized authentication infrastructure.

Insufficient technical detail is available regarding the specific flaw mechanism (whether it involves session token prediction, authentication bypass via malformed requests, or flawed user context resolution). However, given that the vulnerability was discovered through Atlassian's Penetration Testing program, it likely involves a subtle logic flaw in the authentication flow rather than a trivial code injection issue.

Exploitation Scenarios

No public PoC is available; the attack chain is inferred from the vulnerability class and the NVD description.

Step 1 — Reconnaissance/Target Identification: An attacker would first identify internet-exposed Crowd Data Center 7.2.1 instances. This can be achieved through Shodan/Censys searches for Crowd-specific banners, HTTP headers, or default login pages. The attacker would also fingerprint the exact version by examining the login page, API responses, or version-specific static resources.

Step 2 — Triggering the Flaw: The attacker crafts crafted HTTP requests to the authentication or session management endpoints of the Crowd Data Center instance. Since the vulnerability allows an unauthenticated attacker to perform actions as another user, the attacker likely targets authentication endpoints or session management functions without first obtaining valid credentials. The exact request format required to trigger the flaw is not publicly disclosed.

Step 3 — Payload/Execution Method: At the vulnerability-class level, the attack involves manipulating authentication tokens, session identifiers, or user context parameters within HTTP requests to impersonate a legitimate user. This could involve providing a crafted or forged session identifier, exploiting improper session validation logic, or manipulating user identification parameters in API calls that should require prior authentication.

Step 4 — Post-Exploitation Impact: After successfully impersonating a user, the attacker gains the identity and privileges of that user within Crowd Data Center. Depending on the target account (e.g., an administrator), the attacker could:

  • Provision or deprovision user accounts
  • Modify group memberships and permissions
  • Read or exfiltrate sensitive user data and credentials stored by Crowd
  • Potentially pivot to other systems relying on Crowd for SSO/authentication
  • If the impersonated user is an admin, gain complete control over the identity management platform

Impact Assessment

The business impact of CVE-2026-21582 is substantial because Atlassian Crowd Data Center functions as a central identity provider (IdP) for many enterprise environments. A successful exploitation undermines the trust boundary of the entire organization's authentication infrastructure.

Confidentiality Impact (High): An attacker can access data and perform actions as any user, exposing sensitive information stored in Crowd, including user attributes, group memberships, and potentially credential-related data.

Integrity Impact (High): The attacker can modify user accounts, group assignments, and authentication policies, potentially locking out legitimate users or granting unauthorized access to downstream applications.

Availability Impact (High): An attacker could disable user accounts, corrupt identity data, or otherwise disrupt authentication services, causing organization-wide system access failure.

Blast Radius: Given Crowd's role as a hub in enterprise IAM (Identity and Access Management), the blast radius extends beyond the Crowd instance itself to all applications, services, and tools that delegate authentication to Crowd. A compromise could cascade into unauthorized access to Jira, Confluence, Bitbucket, or any custom applications integrated with Crowd SSO.

The CVSS score of 8.8 reflects the severity of a network-exploitable, unauthenticated vulnerability with high impact across the CIA triad. The fact that no user interaction is required (UI:N) and no privileges are needed (PR:N) significantly lowers the exploitation barrier, making this a high-priority remediation target.

Detection Guidance

Sigma Rule

title: Atlassian Crowd Data Center - Potential Authentication Bypass (CVE-2026-21582)
id: 8c2b3f5a-1c4e-4a7d-9b3f-2a6e8c1d4f5a
status: experimental
description: Detects potential authentication bypass attempts against Atlassian Crowd Data Center 7.2.1
references:
    - https://nvd.nist.gov/vuln/detail/CVE-2026-21582
tags:
    - attack.t1190
    - attack.initial_access
    - cve.2026.21582
logsource:
    category: web
    product: crowd
detection:
    selection:
        source_ip|not: [known_admin_ips]
        status_code: 200
    keywords:
        - '*.crowd*'
        - '*/console/*'
        - '*/rest/*'
    anomaly:
        user_agent|contains: 'curl'
    condition: selection and keywords and not anomaly
falsepositives:
    - Legitimate administrative tools
    - Automated monitoring systems
level: high

YARA Rule

rule CVE_2026_21582_Crowd_AuthBypass
{
    meta:
        author = "Valtersit Threat Intelligence"
        description = "Detects Crowd Data Center 7.2.1 version indicators and potential exploitation artifacts"
        cve = "CVE-2026-21582"
        date = "2026-01-01"
        severity = "high"
    strings:
        $version_string = "7.2.1" nocase
        $auth_endpoint = "authenticate" nocase
        $session_keyword = "session" nocase
        $rest_endpoint = "/rest/" nocase
        $console_endpoint = "/console/" nocase
        $default_login = "login" nocase
    condition:
        filesize < 2MB and
        uint16(0) == 0x5A4D and  // MZ header - Windows binaries
        any of ($version_string) and
        (any of ($auth_endpoint) or any of ($session_keyword) or any of ($rest_endpoint))
}

Suricata IDS Rule

alert http any any -> $HOME_NET any (msg:"ET EXPLOIT Atlassian Crowd Data Center Authentication Bypass Attempt (CVE-2026-21582)"; flow:established,to_server; content:"GET"; http_method; content:"crowd"; http_uri; content:"/rest/"; http_uri; content:"authenticate"; http_uri; content:"!Authorization"; http_header; content:"!session"; http_header; threshold:type limit, count 5, seconds 60, track by_src; classtype:attempted-admin; sid:202621582; rev:1;)

Elastic Detection

sequence by source.ip with maxspan=5m
  [ network where network.protocol == "http" and
    http.request.method == "GET" and
    url.path : "*crowd*rest*" ]
  [ network where network.protocol == "http" and
    http.request.method == "*" and
    url.path : ("*authenticate*", "*session*", "*console*") and
    not user_agent : "*Mozilla*" ]

Splunk SPL Query

index=web sourcetype=iis OR sourcetype=apache
| search uri=*crowd* OR uri=*/rest/* OR uri=*/console/*
| eval target_host=host
| stats count BY src_ip, uri, status, user_agent
| where count > 10 AND status IN (200, 302) 
| lookup crowd_users OUTPUT username
| search NOT user_agent="*Mozilla*" NOT user_agent="*Chrome*" NOT user_agent="*Safari*"
| table _time, src_ip, uri, status, count, user_agent
| sort - count

Wazuh OSSEC Rule

<group name="crowd,">
  <rule id="100622" level="15">
    <decoded_as>json</decoded_as>
    <field name="url">\.*crowd\.*</field>
    <description>Crowd Data Center - Potential authentication bypass traffic (CVE-2026-21582)</description>
    <group>authentication_attempt,</group>
    <mitre>
      <id>T1190</id>
    </mitre>
  </rule>
  <rule id="100623" level="10">
    <decoded_as>json</decoded_as>
    <field name="url">\.*rest\.*authenticate\.*</field>
    <description>Crowd Data Center - Unusual authentication endpoint access (CVE-2026-21582)</description>
    <group>authentication_attempt,</group>
    <mitre>
      <id>T1190</id>
    </mitre>
  </rule>
</group>

Mitigation & Patch Guidance

Patch confidence: 0/4 — UNPATCHED — no patch evidence from any tracked source (Note: Despite the low patch confidence score from the provided data, the NVD description explicitly states that fixed version 7.2.2 is available from Atlassian.)

1) Immediate Mitigations

  • Upgrade to Crowd Data Center 7.2.2 or higher immediately. This is the only known remediation for this vulnerability.
  • If immediate upgrade is not possible, restrict access to Crowd Data Center using network-level controls (firewall rules, security groups) to only trusted IP ranges and internal networks.
  • Place Crowd Data Center behind a VPN or bastion host to prevent unauthenticated network access.
  • Enable and enforce MFA (Multi-Factor Authentication) as a compensating control to reduce the risk of account takeover even if authentication bypass is achieved.
  • Monitor authentication logs for unusual session activity or unexpected user impersonation patterns.

2) Patch/Upgrade Steps

  • Download the latest Crowd Data Center version (≥ 7.2.2) from the Atlassian download center: https://www.atlassian.com/software/crowd/download-archive
  • Review the Crowd release notes at https://confluence.atlassian.com/crowd/crowd-release-notes-199094.html for upgrade instructions and any prerequisites.
  • Perform a full backup of the Crowd Data Center database and configuration before upgrading.
  • Test the upgrade in a staging environment to verify compatibility with any integrated applications.
  • Schedule the upgrade during a maintenance window, as the process may require service downtime.
  • Post-upgrade, verify that authentication flows and SSO integrations function correctly.

3) Long-Term Hardening

  • Subscribe to Atlassian security advisories to receive early notifications of vulnerabilities affecting Crowd products.
  • Implement a regular patch management cycle that includes Atlassian product updates.
  • Reduce the attack surface by deploying Crowd Data Center services on internal networks only, with no direct internet exposure.
  • Implement web application firewall (WAF) rules to filter requests to Crowd authentication endpoints, even after patching.
  • Establish baseline security of Crowd instances, including hardened configuration, least-privilege administration, and segregation of administrative functions.
  • Regularly audit user accounts and privileges within Crowd to detect unauthorized modifications.

References

  1. NVD Entry: https://nvd.nist.gov/vuln/detail/CVE-2026-21582
  2. Atlassian Crowd Release Notes: https://confluence.atlassian.com/crowd/crowd-release-notes-199094.html
  3. Atlassian Crowd Download Archive: https://www.atlassian.com/software/crowd/download-archive
  4. CWE-287 (Improper Authentication): https://cwe.mitre.org/data/definitions/287.html
  5. ATT&CK T1190 (Exploit Public-Facing Application): https://attack.mitre.org/techniques/T1190/

Threat Actor Campaigns/Exploit-in-the-Wild Evidence: No known active exploitation campaigns or public exploit code have been reported for this CVE at the time of writing. The vulnerability was discovered through Atlassian's internal Penetration Testing program, suggesting it may not yet be known to threat actors. However, given the High severity and the strategic value of Crowd Data Center in identity management infrastructure, exploitation attempts are likely once the vulnerability details become more widely known or reverse-engineered from the 7.2.2 patch.

👁️ SHODAN DORKS (THREAT HUNTING)

What is this? Security researchers use these exact search queries on Shodan.io (a search engine for internet-connected devices) to find vulnerable systems globally. You can copy these dorks to see if your organization's IP space is exposed.

http.title:"Crowd"
product:"Atlassian Crowd"
"X-Application: Crowd"
"Crowd Data Center" "login"
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