Atlassian JIRA up to 7.6.1 searchrequest-xml cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Atlassian JIRA up to 7.6.1. It has been rated as problematic. This vulnerability affects unknown code of the component searchrequest-xml. Performing a manipulation results in cross site scripting. This vulnerability is cataloged as CVE-2017-18098. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability was found in Atlassian JIRA up to 7.6.1 (Bug Tracking Software). It has been classified as problematic. This affects an unknown function of the component searchrequest-xml. The manipulation with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as 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. This is going to have an impact on integrity. The summary by CVE is:
The searchrequest-xml resource in Atlassian Jira before version 7.6.1 allows remote attackers to inject arbitrary HTML or JavaScript via a cross site scripting (XSS) vulnerability through various fields.
The bug was discovered 04/05/2018. The weakness was shared 04/06/2018 (Website). It is possible to read the advisory at jira.atlassian.com. This vulnerability is uniquely identified as CVE-2017-18098 since 02/01/2018. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. 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 1 days. During that time the estimated underground price was around $0-$5k. The commercial vulnerability scanner Qualys is able to test this issue with plugin 11988 (Atlassian Jira XSS vulnerability (JRASERVER-67075)).
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 103765†). The entry VDB-115898 is related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.atlassian.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.7VulDB Meta Temp Score: 5.7
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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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 |
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
02/01/2018 🔍04/05/2018 🔍
04/05/2018 🔍
04/06/2018 🔍
04/06/2018 🔍
04/07/2018 🔍
01/22/2020 🔍
Sources
Vendor: atlassian.comAdvisory: jira.atlassian.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2017-18098 (🔍)
GCVE (CVE): GCVE-0-2017-18098
GCVE (VulDB): GCVE-100-115899
SecurityFocus: 103765 - Atlassian JIRA CVE-2017-18098 Cross Site Scripting Vulnerability
See also: 🔍
Entry
Created: 04/07/2018 09:53Updated: 01/22/2020 19:48
Changes: 04/07/2018 09:53 (62), 01/22/2020 19:48 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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