| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.9 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Apple Mac OS X 10.4. This issue affects the function mach_msg_send. Performing a manipulation results in heap-based overflow.
This vulnerability is reported as CVE-2006-1220. No exploit exists.
Details
A vulnerability classified as problematic has been found in Apple Mac OS X 10.4 (Operating System). This affects the function mach_msg_send. The manipulation with an unknown input leads to a heap-based overflow vulnerability. CWE is classifying the issue as CWE-122. A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc(). This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Integer overflow in the mach_msg_send function in the kernel for Mac OS X might allow local users to execute arbitrary code via unknown attack vectors related to a large message header size, which leads to a heap-based buffer overflow.
The weakness was disclosed 03/09/2006 by nemo (Website). It is possible to read the advisory at securityfocus.com. This vulnerability is uniquely identified as CVE-2006-1220 since 03/14/2006. The exploitability is told to be easy. Attacking locally is a requirement. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 09/07/2017).
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 SecurityFocus (BID 17056†) and OSVDB (28453†). The entries VDB-29190, VDB-29189 and VDB-29188 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Support
Website
- Vendor: https://www.apple.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.9
VulDB Base Score: 5.9
VulDB Temp Score: 5.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Heap-based overflowCWE: CWE-122 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: No
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
03/09/2006 🔍03/09/2006 🔍
03/13/2006 🔍
03/14/2006 🔍
09/01/2006 🔍
03/12/2015 🔍
09/07/2017 🔍
Sources
Vendor: apple.comAdvisory: securityfocus.com⛔
Researcher: nemo
Status: Not defined
CVE: CVE-2006-1220 (🔍)
GCVE (CVE): GCVE-0-2006-1220
GCVE (VulDB): GCVE-100-29187
SecurityFocus: 17056 - Apple Mac OS X Kernel MACH_MSG_SEND Local Heap Overflow Vulnerability
OSVDB: 28453 - Apple Mac OS X mach_msg_send Local Integer Overflow
scip Labs: https://www.scip.ch/en/?labs.20150108
See also: 🔍
Entry
Created: 03/12/2015 12:19Updated: 09/07/2017 09:21
Changes: 03/12/2015 12:19 (49), 09/07/2017 09:21 (7)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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