Cyberfox Web Browser 52.9.1 allocation of resources

CVSS Meta Temp Score
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CTI Interest Score
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5.2$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in Cyberfox Web Browser 52.9.1. The affected element is an unknown function. This manipulation causes allocation of resources. This vulnerability is tracked as CVE-2021-47784. The attack is restricted to local execution. Moreover, an exploit is present.

Detailsinfo

A vulnerability has been found in Cyberfox Web Browser 52.9.1 and classified as problematic. Affected by this vulnerability is some unknown processing. The manipulation with an unknown input leads to a allocation of resources vulnerability. The CWE definition for the vulnerability is CWE-770. The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor. As an impact it is known to affect availability. The summary by CVE is:

Cyberfox Web Browser 52.9.1 contains a denial of service vulnerability that allows attackers to crash the application by overflowing the search bar with excessive data. Attackers can generate a 9,000,000 byte payload and paste it into the search bar to trigger an application crash.

The weakness was disclosed by Aryan Chehreghani as 50336. It is possible to read the advisory at exploit-db.com. This vulnerability is known as CVE-2021-47784 since 01/14/2026. The exploitation appears to be easy. Attacking locally is a requirement. Technical details are unknown but a public exploit is available.

It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at Exploit-DB (50336). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.2

VulDB Base Score: 3.3
VulDB Temp Score: 3.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 7.5
CNA Vector (VulnCheck): 🔒

CVSSv2info

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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Allocation of resources
CWE: CWE-770 / CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Exploit-DB: 🔒

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

01/14/2026 CVE reserved
01/15/2026 +1 days Advisory disclosed
01/15/2026 +0 days VulDB entry created
01/15/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: 50336
Researcher: Aryan Chehreghani
Status: Not defined

CVE: CVE-2021-47784 (🔒)
GCVE (CVE): GCVE-0-2021-47784
GCVE (VulDB): GCVE-100-341347
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 01/15/2026 17:45
Changes: 01/15/2026 17:45 (79)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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