AmbiCom Blue Neighbors up to 2.50 Bluetooth neighbors.exe RFILE memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in AmbiCom Blue Neighbors up to 2.50. Affected by this vulnerability is an unknown functionality of the file neighbors.exe of the component Bluetooth. Performing a manipulation of the argument RFILE results in memory corruption. This vulnerability is reported as CVE-2006-0253. No exploit exists.
Details
A vulnerability was found in AmbiCom Blue Neighbors up to 2.50. It has been classified as critical. This affects an unknown code of the file neighbors.exe of the component Bluetooth. The manipulation of the argument RFILE with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Buffer overflow in the Bluetooth OBEX Object Push service in "Blue Neighbors.EXE" in AmbiCom Blue Neighbors 2.50 Build 2500 and earlier allows remote attackers to execute arbitrary code via a long file name, as demonstrated via a long RFILE argument to ussp-push.
The weakness was disclosed 01/17/2006 by Kevin Finisterre (Website). It is possible to read the advisory at vupen.com. This vulnerability is uniquely identified as CVE-2006-0253 since 01/18/2006. The exploitability is told to be difficult. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit.
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 databases at X-Force (24179), SecurityFocus (BID 16258†) and Secunia (SA18466†). The entry VDB-25123 is pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
- 2.0
- 2.1
- 2.2
- 2.3
- 2.4
- 2.5
- 2.6
- 2.7
- 2.8
- 2.9
- 2.10
- 2.11
- 2.12
- 2.13
- 2.14
- 2.15
- 2.16
- 2.17
- 2.18
- 2.19
- 2.20
- 2.21
- 2.22
- 2.23
- 2.24
- 2.25
- 2.26
- 2.27
- 2.28
- 2.29
- 2.30
- 2.31
- 2.32
- 2.33
- 2.34
- 2.35
- 2.36
- 2.37
- 2.38
- 2.39
- 2.40
- 2.41
- 2.42
- 2.43
- 2.44
- 2.45
- 2.46
- 2.47
- 2.48
- 2.49
- 2.50
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 6.9
VulDB Base Score: 7.3
VulDB Temp Score: 6.9
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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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: 🔍
Status: Proof-of-Concept
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
01/16/2006 🔍01/17/2006 🔍
01/17/2006 🔍
01/18/2006 🔍
03/12/2015 🔍
08/02/2017 🔍
Sources
Advisory: vupen.com⛔Researcher: Kevin Finisterre
Status: Not defined
CVE: CVE-2006-0253 (🔍)
GCVE (CVE): GCVE-0-2006-0253
GCVE (VulDB): GCVE-100-28347
X-Force: 24179 - AmbiCom Blue Neighbors Object Push service buffer overflow
SecurityFocus: 16258 - AmbiCom Blue Neighbors Bluetooth Stack Object Push Buffer Overflow Vulnerability
Secunia: 18466
Vupen: ADV-2006-0219
See also: 🔍
Entry
Created: 03/12/2015 11:11Updated: 08/02/2017 11:35
Changes: 03/12/2015 11:11 (52), 08/02/2017 11:35 (7)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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