| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.4 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in IBM Daeja ViewONE 4.1.5.1/5.0.2. This vulnerability affects unknown code of the component Web UI. This manipulation causes cross site scripting. This vulnerability is registered as CVE-2017-1209. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability classified as problematic was found in IBM Daeja ViewONE 4.1.5.1/5.0.2. Affected by this vulnerability is an unknown code of the component Web UI. The manipulation with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. As an impact it is known to affect integrity. The summary by CVE is:
IBM Daeja ViewONE Professional, Standard & Virtual 4.1.5.1 and 5.0.2 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 123849.
The bug was discovered 09/18/2017. The weakness was published 10/24/2017 (Website). It is possible to read the advisory at ibm.com. This vulnerability is known as CVE-2017-1209 since 11/30/2016. The attack can be launched remotely. A single authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
The vulnerability was handled as a non-public zero-day exploit for at least 36 days. During that time the estimated underground price was around $0-$5k.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Similar entries are available at VDB-108598, VDB-108597 and VDB-108596. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
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: 4.4VulDB Meta Temp Score: 4.4
VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.4
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: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
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 |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
11/30/2016 🔍09/18/2017 🔍
10/24/2017 🔍
10/24/2017 🔍
10/25/2017 🔍
01/20/2021 🔍
Sources
Vendor: ibm.comAdvisory: ibm.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2017-1209 (🔍)
GCVE (CVE): GCVE-0-2017-1209
GCVE (VulDB): GCVE-100-108595
X-Force: 123849
See also: 🔍
Entry
Created: 10/25/2017 09:15Updated: 01/20/2021 15:46
Changes: 10/25/2017 09:15 (58), 11/30/2019 15:20 (2), 01/20/2021 15:46 (2)
Complete: 🔍
Cache ID: 216:0CC:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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