Chapter 61: Chapter 61: Recovery completed! But is that a reward?
Jeff didn’t do this by guesswork. That is because RAZi compared Jessica’s old post metadata, timestamps, and upload habits to what Jeff simulated and thus gave him a confidence score.
[Device fingerprint: 94% match. Geolocation spoofed. Historical pattern confirmed]
This confirmed to Jeff that the simulation was nearly identical to Jessica’s original environment.
He could now approach SocialHub’s recovery system safely, without triggering any alarms.
Jeff leaned back for a moment, impressed by his own work. After all, he wasn’t brute-forcing or anything.
He was reconstructing digital memory, mimicking the exact conditions the SocialHub server expected to see from the real Jessica, back when she was ten or younger, scrolling through photos with sticky fingers.
For the record, what he did was even harder than brute force, since brute force simply tries every possible password until it gets the right one.
It’s simple, though time-consuming, and typically relies on raw computing power rather than intelligence.
Brute force methods can easily be blocked by rate-limiting, 2FA, or lockout systems, making them ineffective.
Any good platform, especially one like SocialHub, would quickly detect brute force attempts and shut them down immediately.
But with his method, Digital Identity Reconstruction, instead of attacking the system, he made the system believe he was the real user, carefully reconstructing the digital footprint to match Jessica’s past activity.
That’s because he recreated the original device signature, like the MAC address, OS, browser, and screen behavior.
He simulated past location and network patterns, matching login time windows and behavioral patterns.
At the same time, he avoided all security triggers by behaving exactly like the real Jessica in 2015-2016.
Then came the network side. First, he launched net_mask.py, and the output of his command appeared.
...
VPN tunnel: Iloilo exit node
DNS spoof: Mobile data simulation active
Latency: Introduced for realism
...
This coding section is about network simulation, and it’s just as critical as the device simulation. Each of these commands helps convince SocialHub that the login is coming from Jessica’s original environment.
These lines indicate that his VPN is active and exiting from the correct region, further aligning with the simulated environment.
The DNS traffic is mimicking mobile data, and artificial delays have been added to make everything seem human-like. This ensured that the system couldn’t tell the difference between a real user and a simulation.
Now, EIDOLUX wasn’t just acting like Jessica’s old phone, it was behaving as if it was physically there in her place, seamlessly blending into the environment.
Jessica, who had quietly stepped behind him, blinked at the scrolling lines on the screen in confusion.
"What’s all that?" she asked, tilting her head while hugging her pillow.
"This means SocialHub thinks you’re logging in from your old phone, in Iloilo, over some sketchy mobile data. Just like the good old days." Jeff responded.
There was a pause as Jessica processed his words. Then, she let out a small laugh, part amazed, part disbelieving.
"You make it sound so simple," she said softly, her eyes still locked on the screen.
"I didn’t know you were more of a genius. This is scary. It actually looks like I’m there again."
"I’ve heard of others forcibly breaking into some data, but not perfect replication," she added, recalling some of the movies she had watched.
Jeff just only shrugged slightly, "It’s just pattern-matching," he said, modest as always.
Now that the login server would see nothing out of place, as far as it was concerned, the account was being accessed from its original device, in its original location, just like it always had been.
Jeff’s eyes locked on the screen as he prepared for the next part: Operation Account Recovery, which was bypassing the gate.
The simulated phone environment was live, floating inside EIDOLUX, wrapped in memory and masked by time.
With that, he would persuade the system, to not force it. He wasn’t using SocialHub like a normal user. Instead of following the usual route, he skipped the frontend which is the normal login page with buttons and form and connected directly to the backend API.
This is where the real system checks credentials, device history, and recovery steps.
By doing this, he could bypass the traditional interface and interact directly with the system, making the process much smoother and more efficient.
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connect: socialhub.com/recovery
...
This line of code would help him access the account recovery system directly, bypassing the visual page that people normally see.
It’s like entering through the service door instead of the front entrance.
Instead of clicking through the frontend interface like a regular user, Jeff interfaced directly with the backend recovery API, wrapped in a custom script.
...
razi_plugins/recovery_bypass.py
mode: mimic_original_user
input: historical_fingerprint.json
...
The first line of code is a custom RAZi plugin he just created, a script made to simulate identity recovery in the most convincing way as possible.
The second part is that instead of faking access or guessing, he tells RAZi to act like Jessica herself.
All the environment data he built, like device fingerprint, location, and timing, is now used as part of the recovery request.
For the last part, it’s the compiled data profile he and RAZi gathered earlier.
It includes Jessica’s device type, login time windows, geolocation, and behavior patterns.
All packed into a JSON file, which the plugin reads and uses to convince SocialHub that the real user is coming back.
In this latter part, he didn’t pretend to know the password. He didn’t fake an email or try brute-forcing security questions.
Instead, he made the platform think that Jessica’s back. This is her.
With that, the system detected.
...
Same IP region
Same device type
Familiar OS version
Matched behavior pattern: log-in window time, usage signature, and location accuracy
...
These four elements are the critical trust signals that SocialHub’s backend recovery system looks for before granting access.
In this part, he made the system think Jessica was logging in just like she used to years ago by matching four key things.
He made it look like she was logging in from Iloilo again by simulating her old Oppo phone, using Android 5.1, the version her phone ran back then, and replicating her usual login times and slow mobile data feel, matching the same IP region, device type, OS version, and behavior pattern.
[Secondary check triggered...]
Even though everything looked correct like the device, location, and behavior, SocialHub’s system still wanted one more confirmation before allowing full access.
So it asked for something only the real user would likely remember or match.
"No problem," he uttered.
Instead of being stopped, he used RAZi’s collected data from Jessica’s public posts to answer the check.
Like a birthday photo she posted in 2015, her favorite emoji back then, and some tagged friends from an old memory.
All of these were used to prove her past activity and convince the system she was truly back.
For the moment, the system hesitated. So, Jeff proved her identity by using real pieces of Jessica’s old SocialHub activity, and that was enough.
[Activity matched...]
[You are now accessing a legacy account...]
[Please reset your contact details...]
With that, he successfully convinced SocialHub that he was Jessica.
Since the system accepted the proof, it unlocked the account and now asked to update her contact info. The final step was to fully recover it.
Jeff then turned around to her and asked, "What number do you want linked to it now?"
"Number? Linked to what now?" she asked in a confused tone.
Jeff gave a small smile, "number to linked it in SocialHub, so it will know where to send recovery codes next time, in case you ever forget your password again."
Hearing this, Jessica was stunned, and her fingers began trembling. "Ahh, my number is 6666666666."
(Author’s Note: That’s just a random number since it’s pretty obvious.)
Then, Jeff inputted the number and clicked enter. After that, a message was sent to her phone, and he inputted the code.
With that, he perfectly gave Jessica control over what contact gets tied to her account.
Instead of continuing, he stood up from his seated position.
"You do the password. I don’t need to see it," he said to her.
She blinked, totally not believing this was happening right now.
"Are you sure?" she asked.
Jeff just nodded, "It’s your account. You finish it."
With that, she sat down, and with a few keystrokes, she input her new password. Of course, Jeff didn’t watch since this was private.
After inputting her password, she instructed her to open her account on SocialHub, to which she nodded in agreement.
As she stood up and her fingers moved in lightning-fast motion, Jeff closed EIDOLUX.
The session log was cleared, the cookies flushed, and the traces were wiped.
EIDOLUX melted the trail as fast as it was formed. The moment Jeff turned around, an arm wrapped around him all the way to his back.
The two soft marshmallows collided with his chest, making him freeze.
...
Special thanks to ’Meiwa_Blank👑’ – the GOAT for this month, for the Golden Tickets! Love you, brotha!
Special thanks to ’Devon1234👑’ – the GOAT for this month, for the Gifts! Love you, brotha!