Baltimore Technologies Websweeper 4.0 HTTP Header memory allocation
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.8 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Baltimore Technologies Websweeper 4.0. It has been classified as problematic. Affected by this issue is some unknown functionality of the component HTTP Header Handler. Performing a manipulation results in memory allocation. This vulnerability is known as CVE-2001-0460. Furthermore, an exploit is available. Upgrading the affected component is recommended.
Details
A vulnerability classified as problematic has been found in Baltimore Technologies Websweeper 4.0. This affects an unknown code block of the component HTTP Header Handler. The manipulation with an unknown input leads to a memory allocation vulnerability. CWE is classifying the issue as CWE-789. The product allocates memory based on an untrusted, large size value, but it does not ensure that the size is within expected limits, allowing arbitrary amounts of memory to be allocated. This is going to have an impact on availability. The summary by CVE is:
Websweeper 4.0 does not limit the length of certain HTTP headers, which allows remote attackers to cause a denial of service (memory exhaustion) via an extremely large HTTP Referrer: header.
The weakness was published 06/27/2001 by Peter Gründl as not defined posting (Bugtraq). It is possible to read the advisory at securityfocus.com. This vulnerability is uniquely identified as CVE-2001-0460. 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 are unknown but a public exploit is available.
A public exploit has been developed in ANSI C. The exploit is shared for download at securityfocus.com. It is declared as proof-of-concept. The vulnerability scanner Nessus provides a plugin with the ID 11084 (Web Server HTTP Header Memory Exhaustion DoS), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Web Servers and running in the context r. The commercial vulnerability scanner Qualys is able to test this issue with plugin 62008 (Baltimore Technologies WEBsweeper DoS Vulnerability).
Upgrading eliminates this vulnerability.
The vulnerability is also documented in the databases at X-Force (6214), Exploit-DB (20681), Tenable (11084), SecurityFocus (BID 2465†) and Vulnerability Center (SBV-1672†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 4.8
VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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Exploiting
Class: Memory allocationCWE: CWE-789 / CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Programming Language: 🔍
Download: 🔍
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Nessus ID: 11084
Nessus Name: Web Server HTTP Header Memory Exhaustion DoS
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
OpenVAS ID: 11084
OpenVAS Name: Infinite HTTP request
OpenVAS File: 🔍
OpenVAS Family: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
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Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
01/22/2001 🔍03/08/2001 🔍
06/27/2001 🔍
06/27/2001 🔍
08/18/2002 🔍
08/14/2003 🔍
07/04/2014 🔍
10/06/2025 🔍
Sources
Advisory: securityfocus.com⛔Researcher: Peter Gründl
Status: Confirmed
CVE: CVE-2001-0460 (🔍)
GCVE (CVE): GCVE-0-2001-0460
GCVE (VulDB): GCVE-100-16875
X-Force: 6214
SecurityFocus: 2465 - Baltimore Technologies WEBsweeper DoS Vulnerability
Vulnerability Center: 1672 - DoS in WebSweeper 4.0 via Extremely Long HTTP Requests, Medium
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 07/04/2014 17:17Updated: 10/06/2025 12:13
Changes: 07/04/2014 17:17 (66), 05/11/2019 12:52 (7), 06/25/2021 16:46 (3), 01/25/2025 16:00 (17), 10/06/2025 12:13 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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