Apple iOS up to 10.2 ImageIO 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.
5.3$0-$5k0.00

Summaryinfo

A vulnerability was found in Apple iOS up to 10.2. It has been classified as problematic. Affected by this vulnerability is an unknown functionality of the component ImageIO. The manipulation leads to out-of-bounds. This vulnerability is uniquely identified as CVE-2016-3619. The attack is possible to be carried out remotely. No exploit exists. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability was found in Apple iOS up to 10.2 (Smartphone Operating System). It has been rated as problematic. This issue affects an unknown code block of the component ImageIO. The manipulation with an unknown input leads to a out-of-bounds vulnerability. Using CWE to declare the problem leads to CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. Impacted is availability. The summary by CVE is:

The DumpModeEncode function in tif_dumpmode.c in the bmp2tiff tool in LibTIFF 4.0.6 and earlier, when the "-c none" option is used, allows remote attackers to cause a denial of service (buffer over-read) via a crafted BMP image.

The bug was discovered 04/07/2016. The weakness was disclosed 03/27/2017 by Security Team with Qihoo 360 as HT207617 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. The identification of this vulnerability is CVE-2016-3619 since 03/21/2016. The attack may be initiated remotely. No form of authentication is needed for a successful 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 advisory points out:

An out-of-bound read existed in LibTIFF versions before 4.0.7. This was addressed by updating LibTIFF in ImageIO to version 4.0.7.

The vulnerability was handled as a non-public zero-day exploit for at least 179 days. During that time the estimated underground price was around $25k-$100k. The vulnerability scanner Nessus provides a plugin with the ID 99134 (macOS 10.12.x < 10.12.4 Multiple Vulnerabilities (httpoxy)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family MacOS X Local Security Checks and running in the context c. The commercial vulnerability scanner Qualys is able to test this issue with plugin 171720 (SUSE Enterprise Linux Security Update for tiff (SUSE-SU-2018:3879-1)).

Upgrading to version 10.3 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 (99134) and SecurityFocus (BID 85919†). The entries VDB-81883, VDB-81884, VDB-92306 and VDB-93752 are pretty similar. 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: 5.4
VulDB Meta Temp Score: 5.3

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
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: Proof-of-Concept
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-DayUnlockUnlockUnlockUnlock
TodayUnlockUnlockUnlockUnlock

Nessus ID: 99134
Nessus Name: macOS 10.12.x < 10.12.4 Multiple Vulnerabilities (httpoxy)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

OpenVAS ID: 801105
OpenVAS Name: Apple Mac OS X Multiple Vulnerabilities-HT207615
OpenVAS File: 🔍
OpenVAS Family: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Exploit-DB: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

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

Upgrade: iOS 10.3

Timelineinfo

03/21/2016 🔍
04/07/2016 +17 days 🔍
04/07/2016 +0 days 🔍
10/03/2016 +179 days 🔍
03/27/2017 +175 days 🔍
03/27/2017 +0 days 🔍
03/28/2017 +1 days 🔍
03/31/2017 +3 days 🔍
11/20/2022 +2060 days 🔍

Sourcesinfo

Vendor: apple.com

Advisory: HT207617
Researcher: Security Team
Organization: Qihoo 360
Status: Confirmed

CVE: CVE-2016-3619 (🔍)
GCVE (CVE): GCVE-0-2016-3619
GCVE (VulDB): GCVE-100-98747
SecurityFocus: 85919 - LibTIFF CVE-2016-3619 Out Of Bounds Read Denial of Service Vulnerability
OSVDB: - CVE-2016-3619 - LibTIFF - Out-of-Bounds Read Issue
SecurityTracker: 1035508

scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍

Entryinfo

Created: 03/28/2017 11:39
Updated: 11/20/2022 18:52
Changes: 03/28/2017 11:39 (70), 08/21/2020 18:24 (17), 11/20/2022 18:44 (4), 11/20/2022 18:52 (1)
Complete: 🔍
Cache ID: 216:64D: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 ▸

Do you need the next level of professionalism?

Upgrade your account now!