Gotmls Anti-Malware Security and Bruteforce Firewall Plugin duplicator_download path traversal

CVSS Meta Temp Score
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CTI Interest Score
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6.1$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Gotmls Anti-Malware Security and Bruteforce Firewall Plugin up to 4.20.72 on WordPress. Impacted is the function duplicator_download. Performing a manipulation of the argument File results in path traversal. This vulnerability is reported as CVE-2021-47977. The attack is possible to be carried out remotely. Moreover, an exploit is present.

Detailsinfo

A vulnerability classified as critical has been found in Gotmls Anti-Malware Security and Bruteforce Firewall Plugin up to 4.20.72 on WordPress. This affects the function duplicator_download. The manipulation of the argument file with an unknown input leads to a path traversal vulnerability. CWE is classifying the issue as CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. This is going to have an impact on confidentiality. The summary by CVE is:

WordPress Plugin Anti-Malware Security and Bruteforce Firewall 4.20.59 contains a directory traversal vulnerability that allows unauthenticated attackers to read arbitrary files by manipulating the file parameter. Attackers can send requests to the duplicator_download action via admin-ajax.php with path traversal sequences to access sensitive system files outside the intended directory.

The weakness was disclosed by TheSmuggler as 50107. It is possible to read the advisory at exploit-db.com. This vulnerability is uniquely identified as CVE-2021-47977 since 05/16/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details and a public exploit are known. The attack technique deployed by this issue is T1006 according to MITRE ATT&CK.

The exploit is shared for download 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 EUVD (EUVD-2021-34837). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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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: 6.4
VulDB Meta Temp Score: 6.1

VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍

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

CVSSv2info

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

Exploitinginfo

Class: Path traversal
CWE: CWE-22
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

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

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

05/16/2026 Advisory disclosed
05/16/2026 +0 days CVE reserved
05/16/2026 +0 days VulDB entry created
05/17/2026 +1 days VulDB entry last update

Sourcesinfo

Advisory: 50107
Researcher: TheSmuggler
Status: Not defined

CVE: CVE-2021-47977 (🔒)
GCVE (CVE): GCVE-0-2021-47977
GCVE (VulDB): GCVE-100-364347
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 05/16/2026 18:08
Updated: 05/17/2026 02:06
Changes: 05/16/2026 18:08 (82), 05/17/2026 02:06 (1)
Complete: 🔍
Cache ID: 216::103

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

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