| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in IBM DB2 1/9.7/10/10.5/11.1. This issue affects some unknown processing. The manipulation leads to improper authentication. This vulnerability is documented as CVE-2017-1520. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in IBM DB2 1/9.7/10/10.5/11.1 (Database Software). It has been rated as critical. This issue affects some unknown functionality. The manipulation with an unknown input 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, integrity, and availability. The summary by CVE is:
IBM DB2 9.7, 10,1, 10.5, and 11.1 is vulnerable to an unauthorized command that allows the database to be activated when authentication type is CLIENT. IBM X-Force ID: 129830.
The bug was discovered 09/08/2017. The weakness was released 09/12/2017 (Website). It is possible to read the advisory at ibm.com. The identification of this vulnerability is CVE-2017-1520 since 11/30/2016. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 01/11/2021).
The vulnerability was handled as a non-public zero-day exploit for at least 4 days. During that time the estimated underground price was around $5k-$25k.
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 vulnerability database at SecurityFocus (BID 100684†). Statistical analysis made it clear that VulDB provides the best quality for 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: 4.7VulDB Meta Temp Score: 4.7
VulDB Base Score: 5.6
VulDB Temp Score: 5.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 3.7
NVD Vector: 🔍
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: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
OpenVAS ID: 801009
OpenVAS Name: IBM DB2 Multiple Privilege Escalation Vulnerabilities
OpenVAS File: 🔍
OpenVAS Family: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
11/30/2016 🔍09/08/2017 🔍
09/08/2017 🔍
09/12/2017 🔍
09/12/2017 🔍
09/13/2017 🔍
01/11/2021 🔍
Sources
Vendor: ibm.comAdvisory: ibm.com
Researcher: IBM.
Status: Not defined
Confirmation: 🔍
CVE: CVE-2017-1520 (🔍)
GCVE (CVE): GCVE-0-2017-1520
GCVE (VulDB): GCVE-100-106451
X-Force: 129830
SecurityFocus: 100684 - IBM DB2 CVE-2017-1520 Security Bypass Vulnerability
SecurityTracker: 1039308
Entry
Created: 09/13/2017 11:03Updated: 01/11/2021 17:18
Changes: 09/13/2017 11:03 (56), 11/15/2019 11:00 (10), 01/11/2021 17:15 (4), 01/11/2021 17:18 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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