| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Hipchat Server. It has been classified as critical. This vulnerability affects unknown code. The manipulation leads to server-side request forgery. This vulnerability is listed as CVE-2017-14585. The attack may be initiated remotely. There is no available exploit. Upgrading the affected component is recommended.
Details
A vulnerability was found in Hipchat Server (Chat Software) (unknown version) and classified as critical. This issue affects an unknown code block. The manipulation with an unknown input leads to a server-side request forgery vulnerability. Using CWE to declare the problem leads to CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
A Server Side Request Forgery (SSRF) vulnerability could lead to remote code execution for authenticated administrators. This issue was introduced in version 2.2.0 of Hipchat Server and version 3.0.0 of Hipchat Data Center. Versions of Hipchat Server starting with 2.2.0 and before 2.2.6 are affected by this vulnerability. Versions of Hipchat Data Center starting with 3.0.0 and before 3.1.0 are affected.
The bug was discovered 11/22/2017. The weakness was presented 11/27/2017 (Website). It is possible to read the advisory at confluence.atlassian.com. The identification of this vulnerability is CVE-2017-14585 since 09/19/2017. The exploitation is known to be easy. The attack may be initiated remotely. The requirement for exploitation is a simple authentication. The technical details are unknown and an exploit is not publicly available.
The vulnerability was handled as a non-public zero-day exploit for at least 5 days. During that time the estimated underground price was around $0-$5k.
Upgrading eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 101945†). See VDB-110004 for similar entry. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.8
VulDB Base Score: 4.7
VulDB Temp Score: 4.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.2
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: Server-side request forgeryCWE: CWE-918
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: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
09/19/2017 🔍11/22/2017 🔍
11/22/2017 🔍
11/27/2017 🔍
11/27/2017 🔍
11/28/2017 🔍
12/10/2019 🔍
Sources
Advisory: confluence.atlassian.comStatus: Not defined
Confirmation: 🔍
CVE: CVE-2017-14585 (🔍)
GCVE (CVE): GCVE-0-2017-14585
GCVE (VulDB): GCVE-100-110003
SecurityFocus: 101945 - Atlassian Hipchat Server and Data Center CVE-2017-14585 Remote Code Execution Vulnerability
See also: 🔍
Entry
Created: 11/28/2017 07:43Updated: 12/10/2019 20:13
Changes: 11/28/2017 07:43 (59), 12/10/2019 20:13 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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