rdesktop up to 1.9.0 Bitmap Cache orders.c process_raw_bmpcache bpp out-of-bounds
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 4.09- |
Summary
A vulnerability has been found in rdesktop up to 1.9.0 and classified as problematic. Affected is the function process_raw_bmpcache of the file orders.c of the component Bitmap Cache. Performing a manipulation of the argument bpp results in out-of-bounds. This vulnerability only affects products that are no longer supported by the maintainer.
This vulnerability is known as CVE-2026-112278. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability, which was classified as problematic, was found in rdesktop up to 1.9.0. This affects the function process_raw_bmpcache of the file orders.c of the component Bitmap Cache. The manipulation of the argument bpp 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 availability. The summary by CVE is:
rdesktop through 1.9.0 contains a heap out-of-bounds read vulnerability in process_raw_bmpcache() in orders.c that allows malicious RDP servers to crash clients. Attackers can send a raw bitmap cache order declaring large width, height, and bpp values with a tiny payload, causing memcpy() to read past the receive buffer and crash the client.
It is possible to read the advisory at hackmd.io. This vulnerability is uniquely identified as CVE-2026-112278 since 10/19/2026. The exploitability is told to be easy. 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.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
License
Support
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.4
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.5
CNA Vector (VulnCheck): 🔒
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: 🔍
Exploiting
Class: Out-of-boundsCWE: CWE-125 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
10/19/2026 Advisory disclosed10/19/2026 CVE reserved
10/19/2026 VulDB entry created
10/19/2026 VulDB entry last update
Sources
Advisory: hackmd.ioStatus: Not defined
CVE: CVE-2026-112278 (🔒)
GCVE (CVE): GCVE-0-2026-112278
GCVE (VulDB): GCVE-100-422355
Entry
Created: 10/19/2026 16:19Changes: 10/19/2026 16:19 (76)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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