CVE-2022-29169 (GCVE-0-2022-29169)
Vulnerability from cvelistv5 – Published: 2022-06-01 22:20 – Updated: 2025-04-23 18:20
VLAI
EPSS
VEX
Title
ReDoS on endpoint html5client/useragent in BigBlueButton
Summary
BigBlueButton is an open source web conferencing system. Versions starting with 2.2 and prior to 2.3.19, 2.4.7, and 2.5.0-beta.2 are vulnerable to regular expression denial of service (ReDoS) attacks. By using specific a RegularExpression, an attacker can cause denial of service for the bbb-html5 service. The useragent library performs checking of device by parsing the input of User-Agent header and lets it go through lookupUserAgent() (alias of useragent.lookup() ). This function handles input by regexing and attackers can abuse that by providing some ReDos payload using `SmartWatch`. The maintainers removed `htmlclient/useragent` from versions 2.3.19, 2.4.7, and 2.5.0-beta.2. As a workaround, disable NginX forwarding the requests to the handler according to the directions in the GitHub Security Advisory.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 15:54 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/bigbluebutton/bigbluebutton/se… | x_refsource_CONFIRM |
| https://github.com/bigbluebutton/bigbluebutton/pu… | x_refsource_MISC |
| https://github.com/bigbluebutton/bigbluebutton/pu… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| bigbluebutton | bigbluebutton |
Affected:
>= 2.2, < 2.3.19
Affected: >= 2.4.0, < 2.4.7 Affected: >= 2.5-alpha-1, < 2.5.0-beta.2 |
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"shortName": "GitHub_M"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/bigbluebutton/bigbluebutton/security/advisories/GHSA-rwrv-p665-4vwp"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/bigbluebutton/bigbluebutton/pull/14886"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/bigbluebutton/bigbluebutton/pull/14896"
}
],
"source": {
"advisory": "GHSA-rwrv-p665-4vwp",
"discovery": "UNKNOWN"
},
"title": "ReDoS on endpoint html5client/useragent in BigBlueButton",
"x_legacyV4Record": {
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"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-29169",
"STATE": "PUBLIC",
"TITLE": "ReDoS on endpoint html5client/useragent in BigBlueButton"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "bigbluebutton",
"version": {
"version_data": [
{
"version_value": "\u003e= 2.2, \u003c 2.3.19"
},
{
"version_value": "\u003e= 2.4.0, \u003c 2.4.7"
},
{
"version_value": "\u003e= 2.5-alpha-1, \u003c 2.5.0-beta.2"
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},
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"value": "BigBlueButton is an open source web conferencing system. Versions starting with 2.2 and prior to 2.3.19, 2.4.7, and 2.5.0-beta.2 are vulnerable to regular expression denial of service (ReDoS) attacks. By using specific a RegularExpression, an attacker can cause denial of service for the bbb-html5 service. The useragent library performs checking of device by parsing the input of User-Agent header and lets it go through lookupUserAgent() (alias of useragent.lookup() ). This function handles input by regexing and attackers can abuse that by providing some ReDos payload using `SmartWatch`. The maintainers removed `htmlclient/useragent` from versions 2.3.19, 2.4.7, and 2.5.0-beta.2. As a workaround, disable NginX forwarding the requests to the handler according to the directions in the GitHub Security Advisory."
}
]
},
"impact": {
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
},
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{
"description": [
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"lang": "eng",
"value": "CWE-20: Improper Input Validation"
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]
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]
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"name": "https://github.com/bigbluebutton/bigbluebutton/security/advisories/GHSA-rwrv-p665-4vwp",
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},
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"dateReserved": "2022-04-13T00:00:00.000Z",
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}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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