CVE-2019-25588 (GCVE-0-2019-25588)
Vulnerability from cvelistv5 – Published: 2026-03-22 00:11 – Updated: 2026-10-01 15:19
VLAI
EPSS
VEX
Title
BulletProof FTP Server 2019.0.0.50 Denial of Service via DNS Address
Summary
BulletProof FTP Server 2019.0.0.50 contains a denial of service vulnerability in the DNS Address field that allows local attackers to crash the application by supplying an excessively long string. Attackers can enable the DNS Address option in the Firewall settings and paste a buffer of 700 bytes to trigger a crash when the Test function is invoked.
Severity
6.2 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-24 14:01 UTC
CWE
- CWE-1282 - Assumed-Immutable Data is Stored in Writable Memory
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://www.exploit-db.com/exploits/46875 | exploit |
| http://bpftpserver.com/ | product |
| http://bpftpserver.com/products/bpftpserver/windo… | product |
| https://www.vulncheck.com/advisories/bulletproof-… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Bpftpserver | BulletProof FTP Server |
Affected:
2019.0.0.50
cpe:2.3:a:bpftpserver:bulletproof_ftp_server:2019.0.0.50:*:*:*:*:*:*:* |
Date Public
2019-05-20 00:00
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Sightings
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|---|
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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
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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.
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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.