Foxit Reader 9.3.10826 ConvertToPDF_x86.dll out-of-bounds write
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.3 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Foxit Reader 9.3.10826. This affects an unknown part in the library ConvertToPDF_x86.dll. This manipulation causes out-of-bounds write. This vulnerability is tracked as CVE-2019-6755. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in Foxit Reader 9.3.10826 (Document Reader Software). It has been declared as critical. Affected by this vulnerability is some unknown functionality in the library ConvertToPDF_x86.dll. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. The CWE definition for the vulnerability is CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
This vulnerability allows remote attackers to execute arbitrary code on vulnerable installations of Foxit Reader 9.3.10826. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within ConvertToPDF_x86.dll. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated object. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-7613.
The bug was discovered 04/19/2019. The weakness was disclosed 06/03/2019. This vulnerability is known as CVE-2019-6755 since 01/24/2019. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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 was handled as a non-public zero-day exploit for at least 45 days. During that time the estimated underground price was around $0-$5k.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The entries VDB-135911, VDB-135910, VDB-135909 and VDB-135906 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.foxitsoftware.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.3
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
CNA Base Score: 7.8
CNA Vector (Zero Day Initiative): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Out-of-bounds writeCWE: CWE-787 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
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: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
01/24/2019 🔍04/19/2019 🔍
06/03/2019 🔍
06/04/2019 🔍
09/26/2023 🔍
Sources
Vendor: foxitsoftware.comAdvisory: zerodayinitiative.com
Status: Not defined
CVE: CVE-2019-6755 (🔍)
GCVE (CVE): GCVE-0-2019-6755
GCVE (VulDB): GCVE-100-135907
OSVDB: - Foxit Software Foxit Reader code execution
See also: 🔍
Entry
Created: 06/04/2019 12:46Updated: 09/26/2023 16:47
Changes: 06/04/2019 12:46 (39), 06/19/2020 07:06 (18), 09/26/2023 16:39 (3), 09/26/2023 16:47 (13)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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