Ashley Montanaro Darxite 0.4 Username/Password memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Ashley Montanaro Darxite 0.4 and classified as critical. Impacted is an unknown function. The manipulation of the argument Username/Password leads to memory corruption. This vulnerability is uniquely identified as CVE-2000-0846. Moreover, an exploit is present.
Details
A vulnerability, which was classified as critical, has been found in Ashley Montanaro Darxite 0.4. This issue affects an unknown part. The manipulation of the argument Username/Password with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Buffer overflow in Darxite 0.4 and earlier allows a remote attacker to execute arbitrary commands via a long username or password.
The weakness was disclosed 11/14/2000 (Website). The advisory is shared at securityfocus.com. The identification of this vulnerability is CVE-2000-0846. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details as well as a public exploit are known.
A public exploit has been developed in ANSI C. The exploit is available at securityfocus.com. It is declared as proof-of-concept. The commercial vulnerability scanner Qualys is able to test this issue with plugin 38056 (Darxite Login Buffer Overflow Vulnerability).
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 databases at X-Force (5134), Exploit-DB (20159), SecurityFocus (BID 1598†) and Vulnerability Center (SBV-6694†). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 6.6
VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Programming Language: 🔍
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Qualys ID: 🔍
Qualys Name: 🔍
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
08/21/2000 🔍08/22/2000 🔍
11/14/2000 🔍
11/14/2000 🔍
01/02/2005 🔍
06/30/2014 🔍
10/12/2025 🔍
Sources
Advisory: securityfocus.com⛔Status: Not defined
CVE: CVE-2000-0846 (🔍)
GCVE (CVE): GCVE-0-2000-0846
GCVE (VulDB): GCVE-100-15977
X-Force: 5134
SecurityFocus: 1598 - Darxite 0.4 Login Buffer Overflow Vulnerability
Vulnerability Center: 6694 - Buffer Overflow in Ashley Montanaro Darxite 0.4 Allows Code Execution, Critical
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 06/30/2014 13:12Updated: 10/12/2025 19:44
Changes: 06/30/2014 13:12 (59), 05/28/2019 20:10 (1), 12/11/2024 19:04 (21), 10/12/2025 19:44 (3)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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