FontForge OTF File parsettf.c readcfftopdict memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.3 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in FontForge. This issue affects the function readcfftopdict of the file parsettf.c of the component OTF File Handler. Performing a manipulation results in memory corruption.
This vulnerability is reported as CVE-2017-11576. The attack requires a local approach. No exploit exists.
It is advisable to upgrade the affected component.
Details
A vulnerability classified as problematic has been found in FontForge (affected version unknown). This affects the function readcfftopdict of the file parsettf.c of the component OTF File Handler. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. This is going to have an impact on availability. The summary by CVE is:
FontForge 20161012 does not ensure a positive size in a weight vector memcpy call in readcfftopdict (parsettf.c) resulting in DoS via a crafted otf file.
The bug was discovered 07/23/2017. The weakness was disclosed 07/23/2017 (Website). It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2017-11576 since 07/23/2017. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.
The vulnerability scanner Nessus provides a plugin with the ID 102785 (Debian DLA-1065-1 : fontforge 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 176137 (Debian Security Update for fontforge (DSA 3958-1)).
Upgrading eliminates this vulnerability. A possible mitigation has been published 2 months after the disclosure of the vulnerability.
The vulnerability is also documented in the vulnerability database at Tenable (102785). The entries VDB-104419, VDB-104420, VDB-104422 and VDB-104423 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.4VulDB Meta Temp Score: 4.3
VulDB Base Score: 3.3
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
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NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Nessus ID: 102785
Nessus Name: Debian DLA-1065-1 : fontforge security update
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
OpenVAS ID: 53375
OpenVAS Name: Debian Security Advisory DSA 3958-1 (fontforge - security update)
OpenVAS File: 🔍
OpenVAS Family: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Timeline
07/23/2017 🔍07/23/2017 🔍
07/23/2017 🔍
07/23/2017 🔍
07/24/2017 🔍
08/26/2017 🔍
08/28/2017 🔍
12/13/2022 🔍
Sources
Product: github.comAdvisory: 3091
Status: Not defined
CVE: CVE-2017-11576 (🔍)
GCVE (CVE): GCVE-0-2017-11576
GCVE (VulDB): GCVE-100-104427
OVAL: 🔍
See also: 🔍
Entry
Created: 07/24/2017 12:19Updated: 12/13/2022 17:37
Changes: 07/24/2017 12:19 (72), 10/31/2019 17:44 (3), 12/13/2022 17:37 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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