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Computer Software/Engineering

Breach intelligence, attack campaigns, and threat reports targeting the Computer Software/Engineering sector.

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Computer Software/Engineering Threat Reports

Showing 49–60 / 2541 reports
PHP2Shell Exploitation Surge: What Security Teams Must Do Now About CVE-2026-109618 and CVE-2026-109619
PHP2Shell Exploitation Surge: What Security Teams Must Do Now About CVE-2026-109618 and CVE-2026-109619

PHP2Shell Exploitation Surge: What Security Teams Must Do Now About CVE-2026-109618 and CVE-2026-109619

In October 2026, two critical PHP remote code execution vulnerabilities—CVE-2026-109618 and CVE-2026-109619, collectively dubbed PHP2Shell—triggered a global exploitation wave within hours of public disclosure. Cloudflare observed thousands of exploit attempts in the 10 hours before announcement, escalating to millions within two hours post-disclosure. Check Point Research reported that 10% of organizations worldwide faced exploitation attempts within 24 hours. Complicating response efforts, over 99% of discoverable PHP instances had not patched within the first day, and roughly 73% ran unsupported PHP branches, leaving attackers a vast, largely undefended attack surface across web servers, storage appliances, cameras, and physical access-control systems. PHP2Shell underscores a persistent and worsening gap between attacker speed and enterprise patch velocity. As organizations increasingly rely on containerized, hybrid, and multi-cloud deployments, unpatched PHP surfaces embedded in firmware, legacy applications, and third-party software create systemic risk. The incident highlights why runtime network controls, east-west segmentation, and egress enforcement are essential complements to patching programs—especially when patches cannot be applied instantly or at all.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
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CVE-2026-111497: The Brotli Decoder Flaw That Put Node.js, Bun, and Python at Risk of Remote Code Execution
CVE-2026-111497: The Brotli Decoder Flaw That Put Node.js, Bun, and Python at Risk of Remote Code Execution

CVE-2026-111497: The Brotli Decoder Flaw That Put Node.js, Bun, and Python at Risk of Remote Code Execution

In October 2026, a critical memory-corruption vulnerability (CVE-2026-111497) was disclosed in Google's Brotli decoder library, affecting a wide range of software including Node.js, Bun, Python Brotli packages, Envoy, and Istio. The flaw, rated CVSS 4.0 score of 9.2 by Google, allows crafted Brotli-compressed data to overwrite memory boundaries, enabling potential remote code execution, crashes, or memory leaks. Imperva's Red Team demonstrated unauthenticated RCE on an unpatched Node.js 24.22.0 build. Patches were released on October 21, 2026, but each affected product must independently update its bundled copy of the decoder. No in-the-wild exploitation had been confirmed as of initial disclosure. This supply-chain vulnerability illustrates the systemic risk of widely-shared C library code embedded across language runtimes, proxies, and package ecosystems. As organizations increasingly rely on microservices and API-driven architectures, a single upstream flaw can propagate silently across hundreds of services, making runtime network policy enforcement and egress controls essential complements to patching workflows.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
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Inside the LiteLLM 1.107.0 Supply Chain Attack: How PRIVCOLLECT Stole Cloud and AI Credentials via Python Startup Hooks
Inside the LiteLLM 1.107.0 Supply Chain Attack: How PRIVCOLLECT Stole Cloud and AI Credentials via Python Startup Hooks

Inside the LiteLLM 1.107.0 Supply Chain Attack: How PRIVCOLLECT Stole Cloud and AI Credentials via Python Startup Hooks

On October 21, 2026, attackers published a malicious LiteLLM 1.107.0 release to PyPI after abusing stolen developer GitHub credentials to hijack the upstream release workflow. The compromised wheel silently planted Python startup files—cook.pth, cook.py, and sitecustomize.py—outside the application directory, causing a credential-harvesting payload (PRIVCOLLECT) to execute automatically whenever Python initialized in any affected environment, including developer workstations, CI/CD agents, containers, and AI gateway hosts. Collected credentials were AES-256-CBC encrypted, RSA-key-wrapped, and exfiltrated to an attacker-controlled domain, while a secondary Unix loader enabled dynamic remote code execution via a GitHub-hosted dead-drop pointer. This incident illustrates how a single compromised open-source dependency can silently harvest cloud credentials, AI model-provider API keys, SSH keys, and browser secrets across an entire organization's software supply chain—without the application ever being actively invoked. The growing reliance on AI gateway libraries like LiteLLM in production environments amplifies the blast radius significantly.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(medium)
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One Unrevoked Key, Total Pipeline Compromise: Inside the 2026 LiteLLM Supply Chain Attack
One Unrevoked Key, Total Pipeline Compromise: Inside the 2026 LiteLLM Supply Chain Attack

One Unrevoked Key, Total Pipeline Compromise: Inside the 2026 LiteLLM Supply Chain Attack

In May 2026, a LiteLLM Agent Platform master key was accidentally committed to a public GitHub repository and never revoked. On October 10, 2026, an unknown threat actor exploited this unrevoked credential to access the Agent Platform, extract a broadly scoped GitHub CLI OAuth token belonging to an organization owner, and harvest secrets from internal CI/CD workflows via malicious cache.yml files pushed to short-lived throwaway branches. On October 21, the attacker redirected the release pipeline to a lookalike repository and published the backdoored LiteLLM 1.107.0 to PyPI, Docker Hub, and GHCR—delivering a credential-stealing infostealer and persistent Python backdoor to downstream users across the AI developer ecosystem. This incident exemplifies the compounding risk of a single unrevoked secret in an AI-native supply chain: one leaked master key cascaded into organization-wide repository access, CI/CD pipeline hijack, and mass credential exfiltration targeting AI API keys, cloud credentials, and developer tool tokens. As agentic AI frameworks become critical infrastructure, secrets hygiene and pipeline integrity controls are emerging as top-tier enterprise security priorities.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
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php2shell Exposed: Why This PHP RCE Exploit Is Harder to Pull Off Than the Hype Suggests
php2shell Exposed: Why This PHP RCE Exploit Is Harder to Pull Off Than the Hype Suggests
Internet2 weeks ago

php2shell Exposed: Why This PHP RCE Exploit Is Harder to Pull Off Than the Hype Suggests

In October 2024, the cybersecurity community reacted urgently to the disclosure of a PHP vulnerability nicknamed 'php2shell,' which theoretically enables remote code execution through a complex heap manipulation chain. Analysis by SANS ISC researcher Bojan revealed that reliable, weaponized exploitation is significantly harder than initial reports suggested. A working exploit requires precise memory pressure conditions, a single-worker Apache prefork configuration, knowledge of libphp.so offsets to defeat ASLR, and commands limited to 14 bytes—conditions rarely met in production environments with default 128 MB memory limits and multi-worker setups. Organizations are advised to set session.upload_progress.enabled=0 immediately as a mitigation. This incident highlights the growing challenge of accurately triaging vulnerability severity in real-world cloud and hybrid environments. As AI-generated proof-of-concept code floods public repositories, security teams face increasing noise in distinguishing theoretical exploitability from practical risk—making network-level controls and rapid configuration hardening essential layers of defense.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(low)
IImpact(low)
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Ruby's Regex Engine Had Three Bugs. GitLab Got Four Critical RCEs—Two Rated CVSS 10.0.
Ruby's Regex Engine Had Three Bugs. GitLab Got Four Critical RCEs—Two Rated CVSS 10.0.

Ruby's Regex Engine Had Three Bugs. GitLab Got Four Critical RCEs—Two Rated CVSS 10.0.

In October 2026, Ruby disclosed three critical bugs in Onigmo, its built-in regular expression engine, that collectively enabled four remote code execution vulnerabilities in GitLab—two rated CVSS 9.9 and two rated a perfect 10.0. GitLab compiles user-supplied regex patterns in features such as CI/CD configuration, and a specially crafted pattern could corrupt memory during compilation, granting an unauthenticated attacker full code execution on GitLab's servers. The unauthenticated flaws, CVE-2026-97229 and CVE-2026-110264, affect every GitLab version from 7.0 onward. Patched Ruby builds (4.0.9, 3.4.12, 3.3.13) and corresponding GitLab releases (19.5.1 down to 18.11.13) were shipped between September 23 and October 21, 2026. This incident highlights a systemic supply-chain risk: a single language-level regex engine flaw propagated into multiple critical application CVEs. As DevSecOps pipelines rely heavily on Ruby-based tooling and GitLab-hosted workflows, organizations must treat upstream language runtime patches with the same urgency as direct application patches, and implement inline traffic inspection to detect exploitation attempts before patches can be applied.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
Node2Shell: How a Crafted Brotli Payload Delivers Remote Code Execution on Unpatched Node.js Servers
Node2Shell: How a Crafted Brotli Payload Delivers Remote Code Execution on Unpatched Node.js Servers
Internet2 weeks ago

Node2Shell: How a Crafted Brotli Payload Delivers Remote Code Execution on Unpatched Node.js Servers

In October 2026, security researchers at Imperva publicly demonstrated Node2Shell, a proof-of-concept remote code execution exploit targeting CVE-2026-111497, a memory corruption flaw in the Brotli decoder bundled with Node.js 22.x, 24.x, and 26.x. By feeding crafted malformed Brotli-compressed data through HTTP request bodies or response paths—including via Express 5 middleware such as express.json()—attackers can trigger an out-of-bounds write, ultimately executing arbitrary attacker-supplied code on unpatched servers. Node.js released patched builds on October 21, 2026; no in-the-wild exploitation had been confirmed as of October 22, 2026. This incident highlights the compounding risk of trusted, bundled dependencies in widely deployed runtimes. As Node.js underpins millions of cloud-native APIs and microservices, a single decoder flaw becomes a systemic supply-chain-adjacent threat. The rise of middleware-enabled attack surfaces—where standard Express body parsers silently expand exposure—underscores the urgency of runtime patching and network-layer inspection for modern cloud environments.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
CVE-2026-112900: How a Crafted Filename Turns Python's Most Popular Image Library Into a Remote Code Execution Risk
CVE-2026-112900: How a Crafted Filename Turns Python's Most Popular Image Library Into a Remote Code Execution Risk

CVE-2026-112900: How a Crafted Filename Turns Python's Most Popular Image Library Into a Remote Code Execution Risk

In October 2026, security researchers at OX Security disclosed three critical vulnerabilities in Pillow, Python's most widely used image processing library, downloaded approximately 436 million times per month. The most severe flaw, CVE-2026-112900 (CVSS 9.2), allows remote code execution via crafted EPS filenames passed unsanitized to Ghostscript, enabling an attacker who controls a filename to execute arbitrary OS commands on the server. Two additional critical flaws affect JPEG (FPX format) and TIFF in-memory processing pipelines. All three were patched in Pillow 13.0.0 released October 16, 2026. No active exploitation has been confirmed, though a proof-of-concept exists for the TIFF flaw. These vulnerabilities are emblematic of a broader supply-chain risk pattern: a single transitive dependency embedded across web upload forms, ML pipelines, document processors, and container images can silently expose thousands of applications. As AI-assisted vulnerability research (demonstrated here by Anthropic's Claude) accelerates flaw discovery, organizations must treat open-source image libraries as high-priority attack surface in their software supply chain programs.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(low)
Read report
PHP's Double Vulnerability Crisis: What CVE-2026-115560 and PHP2Shell Mean for Your Cloud Infrastructure
PHP's Double Vulnerability Crisis: What CVE-2026-115560 and PHP2Shell Mean for Your Cloud Infrastructure
Internet2 weeks ago

PHP's Double Vulnerability Crisis: What CVE-2026-115560 and PHP2Shell Mean for Your Cloud Infrastructure

In October 2026, PHP disclosed a second unpatched remote code execution vulnerability, CVE-2026-115560, just two days after emergency patches addressed the critical PHP2Shell flaws CVE-2026-109618 and CVE-2026-109619. The PHP2Shell vulnerabilities, patched on October 21 in versions 8.2.35 through 8.5.12, allowed unauthenticated attackers to execute code on web servers. Exploitation attempts surged from tens of thousands within 45 minutes of disclosure to millions by October 22, with threat actors attempting to deploy a Mirai botnet variant. CVE-2026-115560 affects a narrow configuration involving session serialization handler switching and requires disabling session upload progress as a temporary mitigation. This incident illustrates the compounding risk of staggered vulnerability disclosures in widely deployed open-source runtimes. The rapid weaponization of PHP2Shell flaws—with honeypot detections four days before official disclosure—signals increasingly shortened exploit development windows, forcing organizations to treat patch cadence and network-layer egress controls as non-negotiable security baselines.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(high)
EExfiltration(low)
IImpact(high)
Read report
GitLab's Max Severity RCE Flaw CVE-2026-110264: Why Your CI/CD Pipeline Is Now a Primary Attack Surface
GitLab's Max Severity RCE Flaw CVE-2026-110264: Why Your CI/CD Pipeline Is Now a Primary Attack Surface

GitLab's Max Severity RCE Flaw CVE-2026-110264: Why Your CI/CD Pipeline Is Now a Primary Attack Surface

In October 2026, GitLab disclosed CVE-2026-110264, a maximum-severity (CVSS 10.0) Remote Code Execution vulnerability rooted in an integer overflow flaw within GitLab's Regular Expression Compiler engine. An unauthenticated remote attacker could exploit this flaw by submitting a specially crafted regular expression, triggering arbitrary code execution on affected GitLab Community Edition and Enterprise Edition servers. GitLab patched the vulnerability across seven release versions and confirmed GitLab.com was already remediated. With over 2,700 internet-exposed CE instances tracked by Shadowserver and no authentication required, the attack surface is broad and the potential for supply chain compromise across GitLab's 30 million users is significant. This disclosure follows a pattern of cascading critical RCE and path traversal vulnerabilities in GitLab across 2026, one of which (CVE-2026-85706) was added to CISA's Known Exploited Vulnerabilities catalog within 24 hours of disclosure. The trend signals that DevSecOps platforms are increasingly targeted by threat actors seeking high-value footholds into software supply chains, CI/CD pipelines, and Fortune 100 development infrastructure.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(medium)
IImpact(medium)
Read report
PHP2Shell: How Attackers Exploited Critical RCE Flaws Four Days Before Emergency Patches Arrived
PHP2Shell: How Attackers Exploited Critical RCE Flaws Four Days Before Emergency Patches Arrived
Internet2 weeks ago

PHP2Shell: How Attackers Exploited Critical RCE Flaws Four Days Before Emergency Patches Arrived

In October 2026, Amazon Threat Intelligence confirmed that active exploitation of two critical PHP remote code execution vulnerabilities—CVE-2026-109618 and CVE-2026-109619, collectively dubbed PHP2Shell—began four days before emergency patches were released on October 21. Attackers, operating from commercial VPN anonymization infrastructure, targeted honeypots as early as October 17, with multiple threat actors deploying proof-of-concept exploits hours after public disclosure. The PHP security team was forced to accelerate its coordinated release after CVE details and mitigation guidance leaked online two days prior. With PHP powering up to 80% of the internet, including WordPress, Drupal, and Joomla, over 3.8 million internet-exposed PHP hosts faced active risk during the zero-day window. This incident reinforces the growing reality of pre-patch exploitation windows, where threat actors acquire vulnerability intelligence through leaks or independent discovery before defenders can act. As zero-day and near-zero-day exploitation becomes standard attacker tradecraft, organizations must shift from patch-centric defense models toward runtime controls, network segmentation, and egress enforcement that limit blast radius independent of patch status.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(medium)
LMLateral Movement(medium)
C&CCommand & Control(medium)
EExfiltration(low)
IImpact(medium)
Read report
When 15 Seconds Is All It Takes: Machine Speed Attacks Demand Autonomous Response
When 15 Seconds Is All It Takes: Machine Speed Attacks Demand Autonomous Response

When 15 Seconds Is All It Takes: Machine Speed Attacks Demand Autonomous Response

In 2026, Exaforce documented a surge of sub-15-minute identity-driven attacks across enterprise environments. Three distinct patterns emerged: dormant OAuth tokens stolen from developer laptops via poisoned npm packages or infostealers were later weaponized to exfiltrate GitHub repositories at machine speed; ClickFix lures impersonating AI tool installers (Claude Code) deployed macOS stealers that harvested browser cookies and cloud credentials; and vishing campaigns mimicking IT help desks manipulated employees into approving real MFA prompts, granting attackers full session access within minutes. In one GitHub token case, 472 of 638 repositories were exfiltrated in under 15 seconds before containment actions could be authorized. These incidents expose a structural gap in enterprise security: detection platforms and identity providers flag anomalies but rely on human approval for response actions, leaving a critical window attackers now routinely exploit. The convergence of AI-lure social engineering, long-lived OAuth tokens, and incomplete session revocation across SaaS ecosystems signals a new normal where autonomous, low-friction response automation is no longer optional.

Critical impact

Kill Chain

ICInitial Compromise(high)
PEPrivilege Escalation(high)
LMLateral Movement(high)
C&CCommand & Control(high)
EExfiltration(high)
IImpact(high)
Read report
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