IBM WebSphere DataPower XC10 2.1.0/2.5.0 Session Logoff improper authentication
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in IBM WebSphere DataPower XC10 2.1.0/2.5.0. This affects an unknown function of the component Session Handler. The manipulation as part of Logoff leads to improper authentication. This vulnerability is referenced as CVE-2013-5446. No exploit is available. It is suggested to install a patch to address this issue.
Details
A vulnerability, which was classified as critical, has been found in IBM WebSphere DataPower XC10 2.1.0/2.5.0 (Application Server Software). This issue affects an unknown functionality of the component Session Handler. The manipulation as part of a Logoff leads to a improper authentication vulnerability. Using CWE to declare the problem leads to CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. Impacted is confidentiality, and integrity. The summary by CVE is:
The console on IBM WebSphere DataPower XC10 appliances 2.1.0 and 2.5.0 does not properly process logoff actions, which has unspecified impact and remote attack vectors.
The weakness was published 10/18/2013 as swg21653546 as confirmed alert (Website). The advisory is shared at www-01.ibm.com. The identification of this vulnerability is CVE-2013-5446 since 08/22/2013. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Neither technical details nor an exploit are publicly available.
Applying a patch is able to eliminate this problem. A possible mitigation has been published immediately after the disclosure of the vulnerability.
The vulnerability is also documented in the databases at X-Force (87910), SecurityFocus (BID 63250†), OSVDB (98757†) and Secunia (SA55402†). Similar entry is available at VDB-10866. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.ibm.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.5VulDB Meta Temp Score: 5.7
VulDB Base Score: 6.5
VulDB Temp Score: 5.7
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: Improper authenticationCWE: CWE-287
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Unproven
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Timeline
08/22/2013 🔍10/18/2013 🔍
10/18/2013 🔍
10/18/2013 🔍
10/21/2013 🔍
10/22/2013 🔍
10/22/2013 🔍
03/24/2019 🔍
Sources
Vendor: ibm.comAdvisory: swg21653546
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2013-5446 (🔍)
GCVE (CVE): GCVE-0-2013-5446
GCVE (VulDB): GCVE-100-10865
X-Force: 87910 - IBM WebSphere DataPower XC10 Appliance logoff processing security bypass
SecurityFocus: 63250 - IBM WebSphere DataPower XC10 Appliance CVE-2013-5446 Unspecified Security Vulnerability
Secunia: 55402 - IBM WebSphere DataPower XC10 Two Vulnerabilities, Moderately Critical
OSVDB: 98757
See also: 🔍
Entry
Created: 10/22/2013 15:31Updated: 03/24/2019 21:32
Changes: 10/22/2013 15:31 (67), 03/24/2019 21:32 (1)
Complete: 🔍
Committer: olku
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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