Oracle Secure Global Desktop 4.71/5.2/5.3 Window System X11 out-of-bounds

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
9.7$0-$5k0.00

Summaryinfo

A vulnerability identified as very critical has been detected in Oracle Secure Global Desktop 4.71/5.2/5.3. This affects an unknown part of the component Window System X11. Performing a manipulation results in out-of-bounds. This vulnerability is cataloged as CVE-2016-5407. It is possible to initiate the attack remotely. There is no exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability classified as very critical has been found in Oracle Secure Global Desktop 4.71/5.2/5.3 (Connectivity Software). This affects some unknown functionality of the component Window System X11. The manipulation with an unknown input leads to a out-of-bounds vulnerability. CWE is classifying the issue as CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

The (1) XvQueryAdaptors and (2) XvQueryEncodings functions in X.org libXv before 1.0.11 allow remote X servers to trigger out-of-bounds memory access operations via vectors involving length specifications in received data.

The bug was discovered 10/04/2016. The weakness was shared 04/19/2017 as Oracle Critical Patch Update Advisory - April 2017 as confirmed advisory (Website). It is possible to read the advisory at oracle.com. This vulnerability is uniquely identified as CVE-2016-5407 since 06/10/2016. 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 pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 12/01/2022).

The vulnerability was handled as a non-public zero-day exploit for at least 16 days. During that time the estimated underground price was around $25k-$100k. The vulnerability scanner Nessus provides a plugin with the ID 94141 (Debian DLA-667-1 : libxv security update), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Debian Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 157524 (Oracle Enterprise Linux Security Update for X.org X11 libraries (ELSA-2017-1865)).

Upgrading eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Tenable (94141) and SecurityFocus (BID 93368†). The entries VDB-92474, VDB-96084, VDB-100050 and VDB-100042 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 9.8
VulDB Meta Temp Score: 9.7

VulDB Base Score: 9.8
VulDB Temp Score: 9.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

Vendor Base Score (Oracle): 9.8
Vendor Vector (Oracle): 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
💳💳💳💳💳💳
💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock

VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Out-of-bounds
CWE: CWE-125 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-DayUnlockUnlockUnlockUnlock
TodayUnlockUnlockUnlockUnlock

Nessus ID: 94141
Nessus Name: Debian DLA-667-1 : libxv security update
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

OpenVAS ID: 867773
OpenVAS Name: Fedora Update for libXv FEDORA-2016-f71cc44cf8
OpenVAS File: 🔍
OpenVAS Family: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍

Patch: cgit.freedesktop.org

Timelineinfo

06/10/2016 🔍
10/04/2016 +116 days 🔍
10/05/2016 +1 days 🔍
10/20/2016 +15 days 🔍
12/13/2016 +54 days 🔍
04/19/2017 +127 days 🔍
04/19/2017 +0 days 🔍
04/19/2017 +0 days 🔍
12/01/2022 +2052 days 🔍

Sourcesinfo

Vendor: oracle.com

Advisory: Oracle Critical Patch Update Advisory - April 2017
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2016-5407 (🔍)
GCVE (CVE): GCVE-0-2016-5407
GCVE (VulDB): GCVE-100-100179
SecurityFocus: 93368 - X.Org libXv CVE-2016-5407 Memory Corruption Vulnerability
OSVDB: - CVE-2016-5407 - X.org - libXv - Out-of-Bounds Memory Access Iss
SecurityTracker: 1036945

See also: 🔍

Entryinfo

Created: 04/19/2017 19:11
Updated: 12/01/2022 11:00
Changes: 04/19/2017 19:11 (92), 12/20/2020 13:33 (3), 12/01/2022 11:00 (3)
Complete: 🔍
Cache ID: 216:376:103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Discussion

No comments yet. Languages: en.

Please log in to comment.

◂ PreviousOverviewNext ▸

Might our Artificial Intelligence support you?

Check our Alexa App!