惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

大猫的无限游戏
大猫的无限游戏
Webroot Blog
Webroot Blog
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
T
Threat Research - Cisco Blogs
V2EX - 技术
V2EX - 技术
L
LINUX DO - 热门话题
Google DeepMind News
Google DeepMind News
Recorded Future
Recorded Future
S
Schneier on Security
I
InfoQ
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
The GitHub Blog
The GitHub Blog
S
Security @ Cisco Blogs
O
OpenAI News
W
WeLiveSecurity
Vercel News
Vercel News
阮一峰的网络日志
阮一峰的网络日志
Simon Willison's Weblog
Simon Willison's Weblog
人人都是产品经理
人人都是产品经理
Cloudbric
Cloudbric
The Last Watchdog
The Last Watchdog
The Hacker News
The Hacker News
Google Online Security Blog
Google Online Security Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
GbyAI
GbyAI
NISL@THU
NISL@THU
T
Tailwind CSS Blog
V
Visual Studio Blog
PCI Perspectives
PCI Perspectives
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
Jina AI
Jina AI
D
DataBreaches.Net
B
Blog RSS Feed
N
News and Events Feed by Topic
N
News and Events Feed by Topic
H
Heimdal Security Blog
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
腾讯CDC
Latest news
Latest news
V
Vulnerabilities – Threatpost
Hacker News: Ask HN
Hacker News: Ask HN
WordPress大学
WordPress大学
V
V2EX
aimingoo的专栏
aimingoo的专栏
博客园 - 司徒正美
Apple Machine Learning Research
Apple Machine Learning Research
D
Darknet – Hacking Tools, Hacker News & Cyber Security
The Register - Security
The Register - Security
Help Net Security
Help Net Security

Security Research | Blog

Targeted Attack on Middle East Govts (Part 1) | ThreatLabz ClaudeFix: Shared Claude Chats Meet ClickFix | Zscaler Why Do F1 Teams Need Cybersecurity, and What Is AI’s Role? Indirect Prompt Injection Targets AI Agents | ThreatLabz Splunk Enterprise RCE (CVE-2026-20253) | ThreatLabz Edgecution: Malicious Edge Extension Backdoor | ThreatLabz SmartApeSG Supply Chain Attack Targets Okendo | ThreatLabz AI Generated ClickFix Attack Delivers SmartRAT | ThreatLabz What the ThreatLabz 2026 Phishing and Initial Access Report Means for the Public Sector | Zscaler Shai-Hulud: Miasma, Hades, & AI Scanner Evasion | ThreatLabz Zscaler ThreatLabz 2026 Phishing and Initial Access Report Technical Analysis of MLTBackdoor | ThreatLabz When the Scanner Starts Thinking: Learnings from Mythos & GPT 5.5 Cyber in Security Testing | Zscaler OpenClaw Skill Distributes Remcos & GhostLoader | ThreatLabz Tropic Trooper: AdaptixC2 + Custom Beacon | ThreatLabz Do not delete blog (testing) | Zscaler Payouts King Takes Aim at the Ransomware Throne | ThreatLabz The Alibaba Incident and Why Zero Trust Matters More Than Ever In-Memory Loader Drops ScreenConnect | ThreatLabz Supply Chain Attacks Surge in March 2026 | ThreatLabz Claude Code Leak: Critical AI Security Threat 2026 Latest Xloader Obfuscation Code & C2 Protocol | ThreatLabz CVE-2026-20131: Analysis of FMC RCE | ThreatLabz Technical Analysis of SnappyClient | ThreatLabz China-nexus Group Targets Arabian Gulf Region | ThreatLabz Middle East Conflict Fuels Cyber Attacks | ThreatLabz Dust Specter APT Targets Gov’t Officials in Iraq | ThreatLabz APT37 Adds New Tools For Air-Gapped Networks | ThreatLabz GuLoader Malware Obfuscation Techniques Analyzed GuLoader Obfuscation Analysis | ThreatLabz Technical Analysis of Marco Stealer | ThreatLabz Latest Public Sector AI Adoption Trends: What Government, Healthcare, and Education Security Teams Need to Know | Zscaler Operation Neusploit: APT28 Uses CVE-2026-21509 | ThreatLabz 7 Predictions for 2026 | Zscaler SHEETCREEP, FIREPOWER, and MAILCREEP Analysis | ThreatLabz AI is Now Default Enterprise Accelerator: Takeaways from ThreatLabz 2026 AI Security Report | Zscaler GOGITTER, GITSHELLPAD, and GOSHELL Analysis | ThreatLabz Malicious NPM Packages Deliver NodeCordRAT | ThreatLabz What’s Powering Enterprise AI in 2025: ThreatLabz Report Sneak Peek | Zscaler BlindEagle Deploys Caminho and DCRAT | ThreatLabz Technical Analysis of the BlackForce Phishing Kit | ThreatLabz React2Shell RCE Vulnerability (CVE-2025-55182) | ThreatLabz Shai-Hulud V2 Poses Risk to NPM Supply Chain | ThreatLabz Technical Analysis of Matanbuchus 3.0 | ThreatLabz In-Depth Analysis: Water Gamayun APT Multi-Stage Attack Uncovered CVE-2025-50165: Windows Graphics Component Flaw | ThreatLabz Mobile, IoT, and OT Risks Converge in the Public Sector | Zscaler Industry Attacks Surge, Mobile Malware Spreads: The ThreatLabz 2025 Mobile, IoT & OT Report | Zscaler Zscaler Discovers Vulnerability in Keras Models Allowing Arbitrary File Access and SSRF (CVE-2025-12058) | Zscaler F5 Security Incident Advisory | Zscaler Under the Radar: How Non-Web Protocols Are Redefining the Attack Surface | Zscaler SEO Poisoning Targets Ivanti VPN: Credential Theft Alert Cisco Firewall and VPN Zero Day Attacks | ThreatLabz COLDRIVER Adds BAITSWITCH and SIMPLEFIX | ThreatLabz YiBackdoor: Linked to IcedID and Latrodectus | ThreatLabz Technical Analysis of Zloader Updates | ThreatLabz Mitigating Risks from the Shai-Hulud NPM Worm | ThreatLabz Malicious PyPI Packages Deliver SilentSync RAT | ThreatLabz Technical Analysis of SmokeLoader Version 2025 | ThreatLabz Technical Analysis of kkRAT | ThreatLabz APT37: Rust Backdoor & Python Loader | ThreatLabz Anatsa’s Latest Updates | ThreatLabz Termncolor and Colorinal Explained | ThreatLabz GenAI Used to Impersonate Brazil’s Govt Websites | ThreatLabz Ransomware Surges, Extortion Escalates: ThreatLabz 2025 Ransomware Report | Zscaler China-nexus APT Targets the Tibetan Community | ThreatLabz CVE-2025-53770 | ThreatLabz Black Hat SEO Poisoning Search Engine Results For AI | ThreatLabz
Tracking Updates to Raspberry Robin | ThreatLabz
ThreatLabz · 2025-08-04 · via Security Research | Blog

Technical Analysis

In this section, we describe the most significant changes we observed in Raspberry Robin’s functionality. It is worth noting that most of these changes were implemented shortly after our previous publication.

Obfuscation

Raspberry Robin continues to use the same obfuscation techniques discussed in our prior analysis of the malware. However, we have observed three notable changes, which we discuss below.

Initialization loops

One key update is the addition of extra initialization loops to the functions that have a flattened control flow. Previously, it was possible to brute-force the decryption key of each obfuscated function. To counter this, the developers introduced multiple loops, making brute-force efforts inefficient. This modification adds extra junk and obfuscated code into the function.

Obfuscated stack pointers

Another notable update is Raspberry Robin’s use of obfuscated stack pointers. This technique disrupts the decompilation process of IDA, since IDA assumes that the accessed pointer will be a large value. The output result is a failed function decompilation. To address this issue, analysts must manually fix the function’s stack.

The figure below shows how Raspberry Robin's obfuscated stack pointers interfere with the decompilation process of IDA.

Example of Raspberry Robin’s new obfuscated stack pointers.

Figure 1: Example of Raspberry Robin’s new obfuscated stack pointers.

Obfuscated conditional statements

The third notable change is the obfuscation of conditional statements. This modification further complicates the analysis of Raspberry Robin's logic during code analysis.

Example of Raspberry Robin’s obfuscation for conditional statements.

Figure 2: Example of Raspberry Robin’s obfuscation for conditional statements.

Network communication

Although the network encryption process of Raspberry Robin remains nearly the same, ThreatLabz has identified some key changes:

  • Raspberry Robin now uses the ChaCha-20 encryption algorithm instead of AES-CTR for encrypting network data. While the 32-byte encryption key is hardcoded in the binary, the counter and nonce values are randomly generated per request.
  • Raspberry Robin continues to use a 16-byte RC4 key. However, the 8-byte random seed is now appended to the end of the key, rather than the beginning. Additionally, hardcoded portions of the key vary between samples and campaigns.
  • While the CRC-64 algorithm remains the same, its initial values are now randomized per sample/campaign.

The random counter and nonce values for ChaCha-20 are prepended to the encrypted data using the following structure.

struct encryptionInfo
{
 uint32_t nonce_part2;
 uint32_t nonce_part3;
 uint32_t counter;
 uint32_t nonce_part1;
};


Command-and-control (C2) onion domain obfuscation

Raspberry Robin has also updated its method of embedding intentionally corrupted TOR onion domains. Starting in early 2024, Raspberry Robin included a hardcoded algorithm within its TOR module to dynamically correct decrypted C2 domains. The Python code example below shows an example of the domain correction algorithm.

Python code sample

By early 2025, the threat actors modified this part of the code and the algorithm is different per sample/campaign. An example is shown in the figure below.

Raspberry Robin C2 dynamic correction algorithm.

Figure 3: Raspberry Robin C2 dynamic correction algorithm.